拦截低慢小目标的指控系统建模与仿真

doi:10.16182/j.issn1004731x.joss.201811035

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4340-4348.doi: 10.16182/j.issn1004731x.joss.201811035

拦截低慢小目标的指控系统建模与仿真

张志鹏, 苏中

北京信息科技大学高动态导航技术北京市重点实验室,北京 100101

收稿日期:2018-05-29 修回日期:2018-06-30 发布日期:2019-01-04
作者简介:张志鹏(1993-),男,山东,硕士生,研究方向为高动态导航与控制。
基金资助:
国家自然科学基金(61471046),北京市科技计划(Z161100003016011),北京市教委市属高校创新能力提升计划(TJSHG20150772017)

Modeling and Simulation of C2 System for Intercepting LSS Targets

Zhang Zhipeng, Su Zhong

Beijing Information Science and Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China

Received:2018-05-29 Revised:2018-06-30 Published:2019-01-04

摘要/Abstract

摘要： 分析了低慢小目标特性,建立了指控系统的模型,制定了相应的策略,对设计的场景进行了仿真模拟,可提高系统对低慢小目标的拦截效果。在系统建模部分,绘制了目标的航迹,分析了雷达信息的获取,设计了各部分间的坐标变换以及航迹融合,完善了目标的发现过程。考虑到低慢小目标不同的特性,结合拦截武器资源有限的实际情况,制定了相应的威胁评估策略以及火力分配策略,提高了武器的作战效能。采用数值仿真对场景进行了模拟,很好的实现了系统各个部分的功能。该系统的模型编程简单,策略制定合理,仿真场景代表性强,可方便技术人员进行设计与分析。

关键词: “低慢小”目标, 坐标变换, 航迹融合, 威胁评估, 打击策略

Abstract: For analyzing the characteristics of low slow small (LSS) targets, a model of command and control (C2) system is established, the corresponding strategy is designed, and the designed scenario is simulated, which can improve the interception effect of the system on LSS targets. In the part of modeling, the trajectory of the target is plotted, the radar information is analyzed, the coordinate transformation between the parts is designed, and the track fusion is designed, which can improve discovery process. As the different characteristics of LSS targets, combined with the limited resources for intercepting weapons, the threat assessment strategies and fire distribution strategies are designed to improve the operational effectiveness of weapons. The numerical simulation is used to simulate the scene and the function of each part of the system is implemented well. The system has simple model programming, reasonable strategy formulation, and strong representativeness of the simulation scene, which can facilitate the design and analysis of technicians.

Key words: low slow small target, coordinate transformation, track fusion, threat assessments, strike strategy

中图分类号:

TP391.9

张志鹏, 苏中. 拦截低慢小目标的指控系统建模与仿真[J]. 系统仿真学报, 2018, 30(11): 4340-4348.

Zhang Zhipeng, Su Zhong. Modeling and Simulation of C2 System for Intercepting LSS Targets[J]. Journal of System Simulation, 2018, 30(11): 4340-4348.

参考文献

[1] 张云志, 王刚, 赵敏. 防空反导指控系统敏捷性需求分析[J]. 火力与指挥控制, 2017, 42(10): 1-4, 13.
Zhang Y Z, Wang G, Zhao M.Research of agility requirement in command and control system of air and missile defense[J]. Fire Control & Command Control, 2017, 42(10): 1-4, 13.
[2] 邰文星, 丁建江, 刘宇驰, 等. 美军弹道导弹防御指控系统发展变迁与启示[J]. 飞航导弹, 2016(7): 42-48.
Tai W X, Ding J J, Liu Y C, et al.The evolution and inspiration of the US ballistic missile defense accusation control system[J]. Aerodynamic Missile Journal, 2016(7): 42-48.
[3] 刘华, 吕开琦, 刘邦朝, 等. 分布式地空导弹武器系统研究[J]. 飞航导弹, 2018(2): 38-41.
Liu H, Lü K Q, Liu B C, et al.Research on distributed surface to air missile weapon system[J]. Aerodynamic Missile Journal, 2018(2): 38-41.
[4] 董帅君, 栗高峰, 康传华, 等. 防空导弹指挥控制系统火力单元动态调整方法[J]. 火力与指挥控制, 2017, 42(4): 105-109.
Dong S J, Li G F, Kang C H, et al.Dynamic adjustment method of multi-firepower units of command and control system of anti-aircraft missiles[J]. Fire Control & Command Control, 2017, 42(4): 105-109.
[5] 谭亚新, 夏永春, 范锐, 等. 陆军指控系统功能验证的可信性研究[J]. 系统仿真学报, 2016, 28(3): 696-704.
Tan Y X, Xia Y C, Fan R, et al.Research on credibility of function validation to C² system of land force[J]. Journal of System Simulation, 2016, 28(3): 696-704.
[6] 张新刚. 水面舰艇作战指挥控制系统的研究与实现[D]. 长春: 吉林大学, 2017.
Zhang X G.Research and implementation of command and control system for surface Warship[D]. Changchun: Jilin University, 2017.
[7] 谢德光. 基于QFD的舰艇指控系统综合评价方法[J]. 舰船电子工程, 2017, 37(1): 18-21.
Xie D G.A comprehensive evaluation method of ship command and control system based on QFD theory[J]. Ship Electronic Engineering, 2017, 37(1): 18-21.
[8] 许道明, 张宏伟. 雷达低慢小目标检测技术综述[J]. 现代防御技术, 2018, 46(1): 148-155.
Xu D M, Zhang H W.Overview of radar LSS target detection technology[J]. Modern Defence Technology, 2018, 46(1): 148-155.
[9] 郭溪溪. 低空慢速小目标检测识别与威胁度评估[D]. 长春: 中国科学院长春光学精密机械与物理研究所, 2017.
Guo X X.Detection and recognition and thread assessment for small target at low altitude and slow speed. [D]. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2017.
[10] 高敬礼. 面向低空慢速小目标的协检测方法研究[D]. 杭州: 浙江大学, 2018.
Gao J L.On co-detection of low-altitude, slow-speed, small targets. [D]. Hangzhou: Zhejiang University, 2018.
[11] 韩慧孝, 赵全习, 杨凡, 等. 防空作战中“低、慢、小”航空器不利影响因素探析[J]. 飞航导弹, 2017(3): 35-38.
Han H X, Zhao Q X, Yang F, et al.Analysis on the adverse influence factors of LSS target in air defense operations[J]. Aerodynamic Missile Journal, 2017(3): 35-38.
[12] 郑涤滨. 通用航空器飞行轨迹模型研究[J]. 中国民航飞行学院学报, 2017, 28(3): 9-13.
Zheng D B.Research on Aircraft Conflict Model in Terminal Area Based on Bayesian Algorithm[J]. Journal of Civil Aviation Flight University of China, 2017, 28(3): 9-13.

拦截低慢小目标的指控系统建模与仿真

Modeling and Simulation of C2 System for Intercepting LSS Targets

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

[1]	吴静, 徐志明, 艾小锋, 赵锋, 肖顺平. 组网雷达融合处理组件化设计与仿真[J]. 系统仿真学报, 2022, 34(2): 409-418.
[2]	刘胜利, 王刚. 基于雷达图的空袭目标突防航路威胁评估[J]. 系统仿真学报, 2021, 33(1): 196-204.
[3]	陈龙, 马亚平. 基于分层贝叶斯网络的航母编队对潜威胁评估[J]. 系统仿真学报, 2017, 29(9): 2206-2213.
[4]	赵温波, 丁海龙, 曲成华, 莫军. 多雷达组网虚拟观测卡尔曼滤波算法研究[J]. 系统仿真学报, 2015, 27(4): 851-858.