Volume18  Number 4  (2006)

Title	Author	Abstract
A T-S Fuzzy System -based Modeling Method	YUAN Ping, WANG Fu-li	As a method of data-driven modeling, T-S fuzzy system has been used in a wide variety of applications. However, inappropriate fuzzy rule sets can decrease the precision and generalization of the system. A new modeling method was proposed to establish T-S fuzzy model. The new method was based on the idea of variable structure, i.e., initial rules were designed uniformly, and new fuzzy rules were added to reduce the maximum absolute error (MAE) index. In order to accelerate the computational convergence of the parameter optimization, the model parameter optimization depends partly on the Levenberg-Marquardt method for nonlinear parameter optimization and partly on the least squares method for linear parameter estimation. This method makes the rule distribution rational, computational convergence fast, and high model precision. The effectiveness of the proposed method is illustrated by a number of simulation examples.
Method and Realization of Automatical Command Guidanceof Target Formation Flight Test for Airborne Radar	TI Wei-qun, ZHANG An, CAO Shuang-lao, QIU Fang-wen	The target formation flight test for the airborne radar of new era fighter plane shows large multi-batch, multi-path, multi-layer command guidance and decisionmaking. To solve the problems that have slow velocity, poor precision, lower efficiency for the traditionally artificial command guidance in the current flight test method for the airborne radar of the target formation so that the current flight test method for the airborne radar doesn’t meet the requirement of flight test, the basic whole direction guidance way and so on, the main function setting and model structure of the automatical command guidance of the target formation flight test for the airborne radar were introduced, The mathematical models for the automatical command guidance of the multi-target formation flight test were built and they were realized and verified on the research and manufacturing of the flight test automatical command guidance based on the ground radar and GPS.
Modeling and Analyzing of Resource Scheduling Scheme forGrid Computing Using Petri Nets	HAN Yao-jun	A resource scheduling scheme with three-level for grid computing was proposed by analyzing the present resource scheduling schemes. The scheme shows more features of grid resources than present schemes. The three-level resource scheduling scheme was model and analyzed using Petri net which is a powerful graphical and mathematical tool for describing the concurrent, asynchronous and dynamic events. Different extended colored timed Petri net models for different scheduling levels were constructed. A Petri net model for whole system was got by sharing synthesis of Petri nets. A concept of reachable task graph of Petri net corresponding to the resource scheduling was proposed. Some important results such as throughput, load balance and makespan on resource scheduling were analyzed by the reachable task graph
Study on Simulation Model of PV Module	CUI Yan, CAI Bing-huang, LI Da-yong, HUANG Jing-wei, SHI De-quan, HU Hong-xun	An equivalent circuit model of solar cell was built based on the fabric and I-V output characteristic of photovoltaic solar cells. With MATLAB, the simulation model of the photovoltaic array was established. The model was used in the computer simulation of the maximum power point tracking（MPPT）for photovoltaic system.
Design of Warships vs. Submarines Simulation System Based on STAGE	ZHAO Xiao-zhe, WANG Zai-gang, SUN Yong-kan	Warships vs. submarines simulation system can process countermine simulation on the battlefield near reality. STAGE is fit for developing the system. The simulation system’s constitution and functions were researche based on STAGE. And the system’s modeling, model’s extendibility and joint technique with HLA were discussed. Practice shows it has practicability.
Simulation for Pipes of Steam System of Marine	TIAN Zhao-fei, ZHANG Zhi-jian	The pipes of steam system of marine were divided into two kinds of simulation objects by their different working and structure characteristics: long diameter steam pipes and steam flow net of short diameter. The two-phase tank model and the flow net model were set up based on mass and energy conservation for these two simulation objects respectively. Considering the emission of heat from nodes of flow net to environment, a correcting method was proposed for pressure, temperature and enthalpy of nodes of flow net model. These models were successfully applied to a simulator of marine nuclear powered equipment, and the results of simulation tests indicate that the mathematical model can reflect exactly the dynamic characteristic of pipes of steam system of marine.
Water Quality Simulation for Taiyuan Reach of Fen River	XU Ming-de, WANG Xiao-wei	Based on the field investigation and long period regularly monitoring on the main section in Taiyuan reach of Fen River, the water quality characteristic was analyzed and it was ascertained that the main pollutes and controlled factor are BOD and. NH3-N. The system engineering method was used to abstract the Taiyuan reach of Fen River and build the water quality model with the BOD and NH3-N effects on DO. With historical hydrology data and monitoring data, the models were validated and proved to be suitable to simulate water quality on Taiyuan reach of Fenhe River.
Study and Simulation of Maglev Railway Tracing Model	ZHANG Zheng-jiang, LIU Yun, FENG Yu-min	Tracing model and speed protection model of running train were studied aiming at the characteristics of maglev train, and the simulations of the models were given. Experiment results based on simulations show that the presented models can describe the action specialties of maglev trains which are running in the tracing process, adjust the interval between trains dynamically for guaranteeing safety of the train, and increase the density of the running trains. So the models can improve the pass capabilities.
A Dynamic Mass Spring Model for Simulation of Soft Tissue Deformation	BAO Chun-bo, WANG Bo-liang, LIU Zhuo, CHENG Ming	A simple and reliable mass spring modeling method was proposed, which is adapted to the simulation of the soft tissue that can be approximately represented by surface mesh. The concept of virtual volumetric spring was introduced for simulating volumetric information of the soft tissue first. Then a dynamic local subdivision method was given to improve the simulation precision, which is based on the modified butterfly subdivision algorithm and processed on two-stage offline and online. In the offline stage, the base mesh was subdivided into some level of detail meshes. On simulating the online stage, the local subdivision mesh was generated according to some criteria such as stress strength. The experiment results show that the presented method enhances indeed the sense of volume for soft tissue deformation in real time simulation. The computation cost of the local subdivision model is almost the same as the initial coarser model but performs higher computational precision.
Simulation and analysis of passengers’ evacuation ability	in subway under urgent conditions	Through analysis of a kind of subway vehicle’s space feature and using of the technique that passengers adjust their speed and move direction dynamically, a cellular automata model was built which took the restriction of vehicle and dynamical feature of pedestrians into account on the base of cellular automata models and pedestrian flow models.  This model has features of the dynamical speed for people on the basis of pedestrian density and using self-organization phenomena to modify pedestrians’ behaviors. A kind of subway vehicle was studied and the effect of different vehicle space distribution on the safety of passengers’ evacuation was simulated with the improvement advice for vehicle.
Approximation Principle of Fuzzy Qualitative Simulation and Its Improvement	LIU Bing-jie，HU Chang-hua	The definition of distance between 4-tuple parametric fuzzy members was not very reasonable in approximation principle which was ambiguity in fuzzy qualitative simulation. A new method was proposed to represent the distance between 4-tuple parametric members, and an improvement of approximation principle was made by introducing the conception of -level approximation. The advantages of the new distance between 4-tuple parametric members and improved approximation were approved theoretically. The fact that the twofold of improvements could increase the efficiency of fuzzy qualitative simulation was proved by simulation.
Investigating Sinkage Trajectory Distributionof Submarine Launched Missile Carrier’s Separator	GE Hui, ZHANG Yu-wen, ZHOU Qin-ying	Because the main influence on the separator’s the distribution of sinkage trajectory is from the initialization kinematics parameters after the separation of the Submarine-Launched Missile Carrier, the MATLAB/Simulink model of the separator was established and then some index of the sinkage trajectory of the separator of the Submarine-Launched Missile Carrier was optimized on the base of trajectory simulation with the method of Monte Carlo-Complex method. Then the limit extension of the separator was confirmed. And then some thereunder in engineering was given.
Simplex Particle Swarm Optimization Algorithm and Its Application	CHEN Guo-chu, YU Jin-shou	An improved particle swarm optimization algorithm --- simplex particle swarm optimization algorithm (SPSO) was proposed based on PSO and simplex method (SM). Then, SPSO, PSO and SM are used to resolve five widely used test functions’ optimization problems. Results show that SPSO has greater efficiency and better performance than PSO and SM. Next, SPSO is applied to train artificial neural network to construct a practical soft-sensor of gasoline endpoint of main fractionator of fluid catalytic cracking unit (FCCU). The obtained results and comparison with actual industrial data indicate that the new method proposed by this paper is feasible and effective in soft-sensor of gasoline endpoint.
Optimization and Simulation of Continuous Casting Secondary CoolingBased on Enhanced PSO Algorithm	MENG Hong-ji, ZHENG Peng, WU Rong-yang, XIE Zhi	Optimization of the secondary cooling is preformed in the continuous casting with the aid of the two dimension solidification model based on the finite element method. The cost function related to the quality of cast billets is non-linear and differentiable, which is difficult to traditional optimization algorithms, due to the large amount of calculation of the numerical solidification model and phase changes during the solidification process. An enhanced particle swarm optimization algorithm was proposed to optimize the secondary cooling of billet. To improve the ability of local searching, some particles trapped in local minimums were initialized again by chaotic series in order to introduce the neighboring regions of the local minimums in the iteration and help them break away from the local minimums to find the globe optimal solution rapidly. The results of simulation show that the proposed PSO algorithm has its high validity, robustness and efficiency.
Genetic Algorithm with Variable Population Size	XU Xiao-hua,  CHEN Ling ,  CHEN Hong-jian	By simulating the population increasemnet in the human evolution, a genetic algorithm with variable population size (VPGA) was proposed. Without changing the GA operations, VPGA can obtain better solutions with less time cost by modifying the structure of traditional GA. Experimental results show that VPGA using logistic model population size is more efficient and requires less computation time than other modified GAs which only improve the GA operations.
On Performance Analyses of Immune Genetic Algorithm	LUO Wen-jian, CAO Xian-bin, WANG Xu-fa	The performance analysis of the Immune Genetic algorithm was focued on.. Firstly, the global convergence of the Immune Genetic algorithm was analyzed. Secondary, after a concept of Critical Density was proposed, the essential difference between Immune Genetic Algorithm and Genetic Algorithm was given that only the better schemas which have lower density than the corresponding Critical Density could exponentially increase. Finally, the ability of maintaining the diversity of individuals was analyzed. This work is useful to theoretically explore and explain why such kind of improved Genetic Algorithm can get better performance.
Ready Queue Optimization Research in Task Scheduling	CHEN Ying-ge, WANG Xiao-ying, ZHAO Hai, YIN Zhen-yu	Most of embedded real-time systems only equip limited necessary resources so the extra overheads of preemptions among tasks debase the performance of systems significantly. Through scheduling process analysis of periodic task, the waiting limit formula of each task in ready queue was obtained while guarantees its deadline. In addition, some properties, such as final preempting time was deduced and the necessary condition of periodic tasks preempting behavior was described quantitatively. Based on them, a micro scheduling preemption model for periodic tasks in ready queue was put forward, which decreased the number of preemptions and optimized system performance through changing the preempting sequences. The simulation results of the case study show that the model can not only decrease the number of preemptions effectively but also improve the processor utilization for static priority scheduling algorithm such as rate monotonic scheduling.
Research on Relationship of Equipping Reliabilityand Working Reliability of Torpedo	TIAN Xing, SONG Bao-wei , LIANG Qing-wei, SHAO Cheng	Equipping reliability is an important standard of the torpedo reliability, and it has a close relationship with the working reliability. So if it lacks experiment data of equipping reliability, the data from the working reliability can be calculated. The relationship between torpedo equipping reliability and working reliability was analyzed, and the model was established using fuzzy regression theory. Describing the relationship of working reliability and equipping reliability, this model can be used to forecast the equipping reliability which is lacking in experiment data from the working reliability whose data is plenty. These forecast results provide a lot of data for reference, and the problem of lacking data of equipping reliability can be solved. The application to the real data prove that this method is easy and realistic. Engineers can make reference to it.
Layered Fuzzy Neural Network Based on Gray Correlative Analysis	LIU Fang, LIU Min, WU Cheng	A fast approach for automatically generating fuzzy rules from samples using fuzzy neural networks was proposed for ‘fuzzy rules explosion’. Firstly, according to the results of gray correlative analysis, many layer fuzzy sub-systems were built by two input variables combining together. Secondly, in the method, the architecture and weight evolution were carried out layer by layer. Combing fuzzy evolutionary programming with the layer-wise method, the weights of the each layer of a neural network were treated independently; as a result, weights can be updated layer by layer. The weight optimization problem of each layer can be reduced to one with a quadratic form. By evolving a population of neurons instead of neural networks, the length of coding is decreased and the cost of computation is alleviated. Meanwhile the method not only simplifies the computation of the fitness but also decreases the complexity of the fitness space.
Image Denoising Based on Wavelet Domain Markov Random Field Prior Model	CUI Yan-qiu，WANG Ke	An image denoising method was proposed based on an anisotropic Markov random field (MRF) prior model. This method modeled the configurations of the wavelet coefficients as an anisotropic MRF. This model took into account inter- and intrascale dependencies between wavelet coefficients and it was adaptive to the wavelet subbands corresponding to three orientations in the image. Based on this prior model in a Bayesian framework, a spatially adaptive Bayesian shrinkage function was obtained and each modified coefficient was decided separately. Experimental results demonstrate this method improves the denoising performance and preserves the details of the image.
To Solve Single Airports Ground-holding Problem with Genetic Algorithm	WANG Li-li, SHI Zhong-ke	With the air traffic congest problem becomingmore and more heavy, to study the flow optimization has become eager. When the number of the aircraft is more, the same unit delay cost for every aircraft is used to simplify the calculation. As different aircraft has different delay cost, a new event-driven single airports ground-holding model was proposed. The genetic algorithm was devised to solve this combination problem based on the characteristic of problem. The true data of Shanghai Pudong Airport was used to test the model and algorithm. The results validate the feasibility of the proposed model and algorithm.
Crossover Tabu Search for Traveling Salesman Problem	YANG Ning, TIAN Wei-feng, JIN Zhi-hua	An improved tabu search – crossover tabu search (CTS) was proposed, which is applied for solving a well-known combinatorial optimization problem--the traveling salesman problem (TSP). The key strategies of the CTS are intensification strategy and diversification strategy. Intensification strategies, based on modifying choice rules to encourage move combinations, were used to enhance the efficiency of local search. Diversifications strategies were designed to drive the search into new regions, i.e., exploit the new search spaces. The CTS implement the crossover operator of the genetic algorithm (GA) as the diversification strategy, and the strategy for selecting elite solutions as the intensification strategy. CTS, standard TS, standard TS with intensification strategy and ant colony system (ACS) were used to solve the same TSP problems which come from the library of TSP instances TSPLIB and other three TSP instances of Fogel’s path. The results show better CTS performances than other kinds of algorithms.
Smoothing Approach with Diverse Fixed-lagsBased on Target Motion Model	LI Chen, HAN Chong-zhao, ZHU Hong-yan, YUAN Xiang-hui	Recently, lots of smoothing technique is presented for maneuvering target tracking. Interacting Multiple Model- Probabilistic Data Association (IMM-PDA) fixed-lag smoothing algorithm provides an efficient solution to track maneuvering target in cluttered environment. Whereas, the smoothing lag about each model in model set is set equally in traditional algorithm. A new approach was developed based on IMM-PDA approach to a state augmented system, but it adopts different smoothing lag according to the diverse complexity of each model. As a result, the application is more flexible and the computational load can be reduced greatly. Some simulations were made to track a highly maneuvering target in cluttered environment using two sensors. The results show that the proposed algorithm achieves a more significant improvement than comparative schemes in the accuracy of track estimation and with a lower computational load.
Modeling and Analysis of Nested Time-based Software Rejuvenation Policy	YOU Jing, XU Jian, ZHAO Xue-long, LIU Feng-yu	Recently, the phenomenon of "software aging", one in which the state of a software system gradually degrades with time and eventually leads to performance degradation or crash/hang failure, has been reported. To counteract software aging, a nested timed-based software rejuvenation policy was put forward. According to this policy, the system executed application-level rejuvenation several times before system-level rejuvenation every time. Comparing with the periodic system-level rejuvenation policy, this policy could reduce the rejuvenation cost further. Comparing with the periodic application-level rejuvenation policy, it could avoid the system outage due to the failure of forecast. Stochastic Petri nets and finite automata were used to model the working process of this policy. The overhead incurred by the policy itself was computed by mathematical tool called Mathematica. The numerical results demonstrate that this policy can reduce downtime and rejuvenation cost, and then the software reliability and availability can be enhanced.
Virtual Reality Based Real-time Operator Training Systemfor Plate Mill Rolling	ZHAO Yi, MU Zhi-chun, ZHANG Yu, LIU Ying, CHEN Hao-yuan, DONG Ji-yuan	The virtual reality technique was applied to the real-time operator training system for the plate mill rolling. Incorporated with the mathematical models of the plate mill rolling process, the OpenGL graphical library was applied to create the rolling scenario that simulated the process and provided a real-time simulated and visualized operation environment for the rolling operators. It is proved in practice that this real-time simulation technique is a safer, economical and effective method for the operator training. The system structure and software design were introduced with emphasizing on the application of the OpenGL to modeling, simulation and dynamic model drive
Research on Simulation Platform of Wireless Sensor NetworkBased on Multi-Agent	LIANG Wei, YU Hai-bin, ZANG Chuan-zhi, XING Zhi-hao	The super large-scale WSN (Wireless Sensor Network) system demonstrates swarm-intelligent behavior characteristics through collaboration among nodes. Its theory analysis and physics experimental system build-up are difficult so that simulation becomes an important means for WSN R&D work. Therefore, using role-based Agent-oriented programming methodology, a complicated WSN simulation platform was designed and implemented. And main thought and processes of design and development were described, such as role class division, relation among role classes, role banding, Agent class design and so on. Results show that this platform not only can emulate function perform of WSN but also can exhibit its feature of swarm-intelligent behavior.
Development of Real-time Flight Simulation SystemBased on DirectX for Unmanned Aerial Vehicle	LIU Ze-kun, ANG Hai-song, LUO Dong-ming	It is very important to establish a real-time flight simulation system for designing and researching Unmanned Aerial Vehicle. A low cost real-time flight simulation system based on DirectX for Unmanned Aerial Vehicle is presented. Technologies such as modeling and simulation、DirectX、database、Object Oriented Programming were tested in visual simulation field. The main content is a simulation algorithm for 3D modeling application and how to use software engineering concept to develop real time flight simulation system for Unmanned Aerial Vehicle.
One Simulative Training System Based on Virtual Reality Technology	YU Hai-quan, HAO Yong-sheng, MA Jian	Aiming to the existent problem in the portable antiaircraft missile’s training simulator, this training simulator took the graphic workstation and OpenGVS as kernel developing platform, and applied the technologies of virtual reality, three- dimension animated, data-base management and so on to develop training simulation software. In addition, it adopted angle tracker to enhance the precision of angle’s measure and simplify the calibration course of training. And it developed the signal collection circuit that made the timing course of training more accurate. To sum up, this training simulator accords with the developing direction of simulator.
Adaptive Learning Intelligent Decision-making system	WANG Qing, ZHU Shi-hu, DONG Chao-yang, CHEN Zong-ji	An adaptive learning intelligent decision-making system based on the neural networks and expert system was proposed to allow the intelligent decision-making system to learn from experience. The application in the UCAV system shows that the intelligent decision-making system can not only learn from experience but also solve the problem of how to reason when the knowledge and battlefield information are incomplete. The simulation results show that the presented technique improves the performance of intelligent decision-making system.
Distributed MIMO OFDM Wireless Communication SimulationBased on Simulink	ZHOU Bin, XIONG Yong, ZHANG Xiao-dong	A MATLAB/Simulink based MIMO OFDM wireless communication simulation was designed and implemented. To solve the problem of high hardware resource consumption in MIMO communication simulation, a Simulink based distributed simulation scheme was proposed, which managed several PCs in a local network. Since this scheme is flexible and efficient, it can be used in all kinds of complex communication simulations.
Design and Simulation of Resource Scheduling System for Grid EnvironmentBased on Dynamic Pricing	LU Li, YANG Shou-bao, LIU Peng-zhan, HAN Bing, SHEN Kai	Existing resource management and scheduling systems for grid have troubles in scalability and load balance. Based on the computational economy-based model, a distributed resource scheduling system for grid environment was proposed using supply and demand theory. The system provided a bi-directional choosing mechanism and a QoS guaranteeing mechanism for users and resources to supervise them heuristically. The simulation result of the system shows that the system is scalable, flexible and capable of handling load balance well. Meanwhile it guarantees QoS of tasks. Task accomplishment ratio in DIRSS-G is greater than that in Nimrod/G by 22.5%.
Distributed Peer-to-Peer Trust Model and Computer Simulation	YUAN Wei, LI Jin-sheng, HONG Pei-lin	As the traditional concentrated trust method could not be used in peer-to-peer networks, a distributed peer-to-peer trust model was proposed. A peer’s trust value was calculated according to the historical transaction information of the peer in this model. This model used an easy method to calculate the trust and avoided the divergence of iteration for trust calculation. In addition, this model could deal with some security problems, such as impostor attack and slander. The computer simulation results testify these merits.
Research on Analysis Model Based on Multibody SystemVirtual Prototype Implemented by Component	WANG Ting, DING Guo-fu, ZHANG Wei-hua, YAN Kai-yin, XU Ming-heng	Mechanical virtual prototype in concurrent engineering is iterated and optimized process, in which product design and analysis are integrated. It is a key of integration of design process that harmonizes model, for example, conversion between CAD model and mechanical multibody dynamics model. In the viewpoint, it was addressed that physics properties on multibody dynamics was extracted from CAD when mechanical virtual prototype was constructed based on component. It was studied that scheme of mapping semantic between CAD model and analysis model of multibody dynamics was realized based on Cartesian method of multibody dynamics in CAXA of 3-dimensional CAD. It was analyzed that how to extract inertia tensor of universal assembly and coordination conversion of Prismatic-Joint constraint model in semantic of multibody dynamics model. It is proved that extracting physics properties on multibody dynamics from CAD is realizable, by which analysis model of multibody dynamics based on component can be constructed. It is realizable that mechanical virtual prototype is developed by own, integrated in design and analysis.
3-D Virtual Robotic Model Generated by D-H Parameters	ZHOU Fang-fang, FAN Xiao-ping, YE Zhen	Generally, robot manipulators are geometrically described by the Denavit– Hartenberg (D-H) parameter table. The way to generate three-dimensional virtual models of robot manipulators from a D-H parameter table was proposed to realize the visualization of robot. The functions of controlling viewpoint and cruise in the scene provided by the simulation system implemented the observation of the robot model from angles and positions and they could be used as training system for those who manipulated robot. Generation of 3-D virtual robot model is one of the useful tools in the study of robot manipulators and the structural design.
Modeling Method for Large-Scale Cultural Heritage Sites and ObjectsUsing Real Geometric Data and Real Texture Data	HU Shao-xing，ZHA Hong-bin，ZHANG Ai-wu	Digital preservation of cultural heritage sites and objects has become a global problem. A real 3D digital method for culture heritage sites and objects was proposed using 3D laser scanners and CCD cameras. Firstly, the laser scans were preprocessed for noise removal and holes filling. Next step was using an improved ICP algorithm to register multiple laser scans step-by-step. Finally, a volumetric-based algorithm was used to construct a coherent 3D mesh that enclosed all range scans, and real 3D models of cultural heritage sites and objects were created through texture mapping. The examples of constructing 3D models of buildings and grottos have been presented, and the prefect results have been obtained.
Research on Pyramid Model for Global Multi-resolutionVirtual Terrain Environment	DU Ying, WU Yu-guo, WANG Xiao-ming, YOU Xiong	A new MRLOD-based pyramid model for global multi-resolution virtual terrain environment was put forward, in which there were still many difficult problems to resolve, such as massive data and low frame rate. After discussing the disadvantages of traditional methods when building a pyramid model, a new method was described, and then it was explained of how to build a pyramid model, how to divide it into layers and blocks and how to organize them in order.
Series Momentum Filter Based Adaptive Line Enhancer	GUO Ye-cai, HAN Ying-ge, RAO wei, ZHAO Jun-wei	Fourth order cumulant Variable step-size Sign Momentum filtering algorithm (FVSM) was proposed based on analyzing the non-Gaussian features of underwater acoustic environment and utilizing the advantages of Momentum Least Mean Square(MLMS) algorithm, LMS algorithm, variable step-size algorithm and sign one. Series Momentum Filter Based Adaptive Line Enhancer (SMFBALE), whose first filter is a FVSM Based Adaptive Line Enhancer (FVSMBALE), whose second filter is a MLMS Based Adaptive Line Enhancer (MLMSBALE), and whose third filter is a Short-term Correlation Momentum filtering Based Adaptive Line Enhancer (SCMBALE), was established. Filtering coefficients of the FVSMBALE were defined using fourth order cumulant diagonal slice of input signals and indirectly updated using input signals, sign of function of input signals, variable step size, and momentum filtering algorithm，filtering coefficients of the MLMSBALE were updated using second order cumulants and momentum filtering algorithm, and filtering coefficients of SCMBALE were updated using instantaneous autocorrelation function and momentum filtering algorithm. Theoretical analysis and simulation tests with real data of the underwater moving target-radiated noise show that the SMFBALE has immunity to Gaussian noise and that better ability to suppress mixed distributed noise or non-Gaussian noise and to trace time-varying signals is much stronger than that of the single MLMSBALE, the FVSMBALE, and the SCMBALE.
Algorithm for Weak Signal Detection with Adaptive Matched Filter	Based on Wavelet Transform	The demand for detection of objects with low probability of observation is increasingly needed. The reason is that noises always badly affect measured results. The method of signal detection in low signal to noise ratio (SNR) is widely concerned. To detect the weak signals buried in noise is a fundamental and important problem. Adaptive filter provides a kind of simple and applied method for processing weak signals in noise. It can attain a best approach of the weak signals through measuring and learning. We adopt the sub-band coded theory of WT and synthesis post-combination weak signal adaptation matching of multi sub-band’s weights. An algorithm for ECG signal detection with wavelet Transform based on adaptive matched filter is proposed. The simulation results show that this method can further improve the detection capability. The algorithm is a quite effective method for the extraction features of weak signal and improving the ratio of signal to noise
Simulation Study on Noise Effect in Navigation for Mobile Robot	REN Yi, CHEN Zong-hai	Noise is always induced for behavior-based mobile robot when the environmental information is obtained, which affects the navigation of mobile robot. A behavior-based mobile robot simulator considering noise was established. And the effects of the uniformly distributed and Gaussian noise on the efficiency of navigation were quantitatively studied. In addition, the denoising effects of the combination among modules including the average mode and the maximum mode were considered. The results indicate that noise causes the decreasing efficiency of navigation, and the increasing travel time. The denoising effect of the average mode is better than that of the maximum mode, which guides practically the real robot system.
Synchronization Acquisition Algorithm for DSSS in Low SNR	WANG Cheng-gui, KAN Chun-rong	Synchronization acquisition and signal recognition are key technologies in DSSS. A scheme for joint frequency offset and spread spectrum code time delay acquisition was proposed, and the noise and interference estimation algorithm was put forward based on peak windows. Based on the estimation, relative threshold was applied in signal recognition. The performances of the algorithm were simulated, including false detect probability, missed detect probability and false acquisition probability. The useful data for its practical application was provided. The algorithm aims at binary DSSS/MPSK signal, but also can be applicable for m-ary orthogonal spread spectrum system.
Linear Generalized Synchronization of Chaotic Systemswith Adaptive Control	HU Ai-hua, XU Zhen-yuan, LI Fang	A new method—adaptive control for constructing a response system was developed to implement linear generalized synchronization (GS) with the drive system. The method was proved to be effective based on the Lyapunov stability theory and Barbalat lemma. The Chua’s circuit was taken for illustration and verification. Furthermore, the results of the numerical simulation indicate that the method driven here can be applied well to the secure communication.
Approach Based on Wavelet Analysis and Non-linear Mappingto Detect Anomalies in Dataset	SONG Yan-po, TANG Ying, PENG Xiao-qi	Data preprocessing is crucial for data mining or other system modeling based on data set. It is an important task to eliminate the anomalous samples which have been polluted. But it’s difficult to detect the anomalies before the relationship among the samples’ attributes is known. Therefore, an approach based on wavelet analysis and non-linear mapping to detect anomalies was proposed. Using the non-linear mapping to decrease the dimensions of data, taking full advantage of wavelet analysis’ superiority in local analysis, the approach is able to detect anomalies accurately. The experiments show that the approach is accurate and practical.
Speed-Sensorless Inverse Decoupling Control Based on EKFfor Induction Motor Drives	ZHANG Xing-hua，NIU Xing-lin，LIN Jin-guo	A novel inverse decoupling control scheme for induction motor drive without a speed sensor was proposed. First, the inverse system method was used to realize the dynamic decoupling between rotor speed and flux. Then, the signals of rotor speed and flux were estimated with an extend Kalman filter（EKF）. Last, the speed and flux regulator