Research on Modeling and Simulation of Optimization Deployment for Cooperative Localization by Multiple Detection Sensors in Complex Environment

doi:10.16182/j.issn1004731x.joss.21-0454

Abstract

Abstract:

Aiming at the difficulty of accurate cooperative localization by multi-sensor network in complex environment, an optimization deployment method is proposed. The GDOP evaluation index of target positioning accuracy is constructed based on PCRLB. The influence of undulating terrain, clutter jamming and illumination on sensor detection and positioning ability in complex environment is analyzed. An optimization deployment model of multi-sensor cooperative location is built and the intelligent optimization algorithm is used to quickly solve the model. Simulation results show that the proposed method can effectively improve the cooperative localization ability of multi-sensor network and can guide the multi-sensor cooperative optimization deployment.

Key words: target localization, complex environment, optimization deployment, sensor management, modeling and simulation

CLC Number:

TP212.9

Gongguo Xu, Libing Cai, Peibing Du, Yu Liu. Research on Modeling and Simulation of Optimization Deployment for Cooperative Localization by Multiple Detection Sensors in Complex Environment[J]. Journal of System Simulation, 2022, 34(10): 2171-2180.

Figures/Tables 12

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

References 23

1	Mallick M, Krishnamurthy V, Vo B N. Integrated Tracking, Classification, and Sensor Management: Theory and Applications[M]. USA: John Wiley & Sons, 2012.
2	Yang Junjia, Wang Shijun, Na Xuezhu, et al. A Weighted Data Fusion Method in Distributed Multi-Sensors Measurement and Control System[C]// 6th International Conference on Information Science and Control Engineering. Shanghai: IEEE, 2019: 654-658.
3	何友, 王国宏, 关欣, 等. 信息融合理论及应用[M]. 北京: 电子工业出版社, 2010.
	He You, Wang Guohong, Guan Xin, et al. Information Fusion Theory and Application[M]. Beijing: Publishing House of Electronics Industry, 2010.
4	Osama Moh'd Alia, Al-Ajouri AIaa. Maximizing Wireless Sensor Network Coverage with Minimum Cost Using Harmony Search Algorithm[J]. IEEE Sensors(S1530-437X), 2016, 17(3): 882-896.
5	宋志强, 周献中, 陈春林. 面向区域覆盖的异构传感器节点部署[J]. 传感器与微系统, 2016, 35(4): 119-122.
	Song Zhiqiang, Zhou Xianzhong, Chen Chunlin. Deployment of Heterogeneous Sensor Nodes for Regional Coverage[J]. Transducer and Microsystem Technologies, 2016, 35(4): 119-122.
6	Gong X, Zhang J, Cochran D, et al. Optimal Placement for Barrier Coverage in Bistatic Radar Sensor Networks[J]. IEEE/ACM Transactions on Networking(S1063-6692), 2016, 24(1): 259-271.
7	Wang B, Chen J, Liu W, et al. Minimum Cost Placement of Bistatic Radar Sensors for Belt Barrier Coverage[J]. IEEE Transactions on Computers(S0018-9340), 2015, 65(2): 577-588.
8	Vilela J, Kashino Z, Ly R, et al. A Dynamic Approach to Sensor Network Deployment for Mobile-Target Detection in Unstructured, Expanding Search Areas[J]. IEEE Sensors Journal(S1530-437X), 2016, 16(11): 4405-4417.
9	Ivashko I M, Yarovoy A G. Off-Grid Radar Node Placement for Target Localization in Radar Networks[C]// CIE International Conference on Radar. Guangzhou: IEEE, 2016: 1-4.
10	陈西成, 文童, 刘曙. 基于改进Memetic算法的区域防空优化部署方法[J]. 弹箭与制导学报, 2018, 38(5): 14-18.
	Chen Xicheng, Wen Tong, Liu Shu. Optimization for Regional Air Defense Deployment Based on Memetic Algorithms[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2018, 38(5): 14-18.
11	Rathi S, Gupta R. A Simple Sensor Placement Approach for Regular Monitoring and Contamination Detection in Water Distribution Networks[J]. Ksce Journal of Civil Engineering(S1226-7988), 2015, 20(2): 1-12.
12	Qasim T, Zia M, Minhas Q A, et al. An Ant Colony Optimization Based Approach for Minimum Cost Coverage on 3-D Grid in Wireless Sensor Networks[J]. IEEE Communications Letters(S1089-7798), 2018, 22(6): 1140-1143.
13	Zou Y, Chakrabarty K. Sensor Deployment and Target Localization Based on Virtual Forces[C]// 22nd Annual Joint Conference of the IEEE Computer Communications. Washington D. C., USA: IEEE, 2003: 1293-1303.
14	张俏薇, 陈俊杰. 一种优化WSNs节点部署的变步长虚拟力算法[J]. 传感器与微系统, 2018, 37(5): 119-121, 126.
	Zhang Qiaowei, Chen Junjie. A Variable Step-Size Virtual Force Algorithm for Optimizing Deployment of WSNs Nodes[J]. Transducer and Microsystem Technologies, 2018, 37(5): 119-121, 126.
15	Lee H J, Kim Y H, Han Y H, et al. Centroid-Based Movement Assisted Sensor Deployment Schemes in Wireless Sensor Networks[C]// 70th Vehicular Technology Conference Fall. Anchorage: IEEE, 2009: 1-5.
16	唐小江, 谭励, 王敏基, 等. 基于Voronoi图的三维移动传感器网络自主部署算法[J]. 传感技术学报, 2018, 31(4): 613-619.
	Tang Xiaojiang, Tan Li, Wang Minji, et al. Autonomous Deployment Algorithm of Three-Dimensional Mobile Sensor Network Based on Voronoi Diagram[J]. Chinese Journal of Sensor and Actuators, 2018, 31(4): 613-619.
17	Tang X, Tan L, Hussain A, et al. Three-Dimensional Voronoi Diagram-Based Self-Deployment Algorithm in IoT Sensor Networks[J]. Annals of Telecommunications(S0003-4347), 2019, 74(7): 517-529.
18	Cadre J E L, Jauffret C. Discrete-Time Observability and Estimability Analysis for Bearings-Only Target Motion Analysis[J]. IEEE Transactions on Aerospace & Electronic Systems(S0018-9251), 2018, 33(1): 178-201.
19	徐公国, 单甘霖, 段修生. 基于改进d-Xdraw算法的起伏地形下异构多传感器分簇部署方法[J]. 系统工程与电子技术, 2019, 41(7): 1516-1524.
	Xu Gongguo, Shan Ganlin, Duan Xiusheng. Cluster Deployment Method of Heterogeneous Multi-Sensor on Rolling Terrains Based on Improved d-Xdraw Algorithm [J]. Systems Engineering and Electronics, 2019, 41(7): 1516-1524.
20	Niu R, Willett P, Bar Shalom Y. Matrix CRLB Scaling Due to Measurements of Uncertain Origin[J]. IEEE Transactions on Signal Processing(S1053-587X), 2001, 49(7): 1325-1335.
21	刘丙申, 刘春魁, 杜海涛, 等. 靶场外测设备精度鉴定[M]. 北京: 国防工业出版社, 2008: 133-135.
	Liu Bingshen, Liu Chunkui, Du Haitao, et al. Accuracy Identification of Shooting Range Outfield Test Device[M]. Beijing: National Defence Industry Press, 2008: 133-135.
22	徐公国, 段修生, 单甘霖, 等. 基于多目标局部变异-自适应量子粒子群优化算法的复杂地形多传感器优化部署[J]. 兵工学报, 2018, 39(11): 2192-2201.
	Xu Gongguo, Duan Xiusheng, Shan Ganlin, et al. Optimization Deployment of Multi-sensors in Complex Terrain Based on Multi-objective LM-AQPSO Algorithm[J]. Acta Armamentarii, 2018, 39(11): 2192-2201.
23	俞宙, 单甘霖, 段修生, 等. 障碍物遮蔽下三维空间多传感器优化布站[J]. 探测与控制学报, 2019, 41(2): 110-114, 119.
	Yu Zhou, Shan Ganlin, Duan Xiusheng, et al. Method of Multi-sensor Optimal Deployment for Obstacle Obscuration in Three-dimensional Environment[J]. Journal of Detection & Control, 2019, 41(2): 110-114, 119.

[1]	Zhang Yue, Zhang Wenliang, Feng Qiang, Guo Xing, Ren Yi, Wang Zili. Combat-oriented Comprehensive Simulation and Verification Technology for Equipment System RMS [J]. Journal of System Simulation, 2025, 37(7): 1823-1835.
[2]	Gu Qiming, Chen Jiazhi, Cao Guoyan, Zhou Chenchu, Yu Dengxiu, Hu Haifeng. Research on a Credibility Information Management Method of Simulation Modeling [J]. Journal of System Simulation, 2025, 37(5): 1314-1328.
[3]	Zhang Huimai, Hu Xiaoya, Zhou Chunjie. Digital Twin Framework for the Generation and Optimization of Security Policies for TSN Industrial Control Systems [J]. Journal of System Simulation, 2025, 37(4): 861-874.
[4]	Xie Xu, Qiu Xiaogang, Bao Yizheng, Xu Kai. Dynamic Data Driven Simulation: An Overview [J]. Journal of System Simulation, 2024, 36(8): 1832-1842.
[5]	Ren Qiankun, Xiong Xinli, Liu Jingju, Yao Qian. Reserach on Digital Twins Technology in Cyberspace Security [J]. Journal of System Simulation, 2024, 36(8): 1944-1957.
[6]	Han Lu, Lin Zhang, Kunyu Wang, Zejun Huang, Hongbo Cheng, Jin Cui. A Framework on Equipment Digital Twin Credibility Assessment [J]. Journal of System Simulation, 2023, 35(7): 1455-1471.
[7]	Mingyuan Liu, Jiaxiang Xie, Hao Wu, Jianlin Fu, Guofu Ding. Research on Workshop Logic Modeling and Simulation Based on Finite State Machine [J]. Journal of System Simulation, 2023, 35(4): 853-861.
[8]	Li Liuzhen, Jin Chao, Lin Tingyu, Zhu Yaoqin. Modeling and Simulation on Production Logistics of Intelligent Workshop Manufacturing System Based on EFSM [J]. Journal of System Simulation, 2023, 35(12): 2655-2668.
[9]	Wang Can, Ji Haoran, Guo Qisheng, Dong Zhiming, Tan Yaxin, Mu Ge. Development of Combat Concept of Intelligent Land Assault System Based on DoDAF [J]. Journal of System Simulation, 2023, 35(11): 2397-2409.
[10]	Guowei Lu, Xueqiang Tao, Deguang Duan, Hao Li, Zerui Zhang, En Chen. Research on Modeling and Simulation of Application Efficiency of Tactical Medical Equipment [J]. Journal of System Simulation, 2023, 35(1): 190-201.
[11]	Guoqiang Shi, Zewei Liu, Tingyu Lin, Zhao Xu, Xingyi Yang, Liqin Guo, Zhengxuan Jia. Open Cloud Architecture Design for Complex Product Modeling and Simulation System [J]. Journal of System Simulation, 2022, 34(3): 442-451.
[12]	Feng Li, Ying Wei. Product Decisions in Presence of Social Learning and Reference Point Effect [J]. Journal of System Simulation, 2022, 34(2): 234-246.
[13]	Fan Changjia, Du Yanqiu, Liang Di, Hu Kai, Huang Jiayan. Modeling and Simulation of Emergency Medical Resources Allocation in Shanghai during COVID-19 [J]. Journal of System Simulation, 2022, 34(1): 93-103.
[14]	Si Guangya, Wang Yanzheng. Challenges and Reflection on Next-generation Large-scale Computer Wargame System [J]. Journal of System Simulation, 2021, 33(9): 2010-2016.
[15]	Cao Qi, Xiang Qun, Wang Wenzheng. Research on Component-based Modeling of Simulation Entity for Logistics and Equipment Support [J]. Journal of System Simulation, 2021, 33(6): 1233-1240.