战场威胁约束下的纯方位探测单观测站轨迹优化
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摘要
为保证战场环境下单站纯方位无源探测的精度和观测站的战场生存能力,提出一种战场威胁约束下的单观测站轨迹优化方法。对典型战场威胁进行分析,建立战场威胁和单观测站运动轨迹的数学模型。在此基础上综合考虑单观测站探测精度和所受威胁程度,分别构建精度打分函数和威胁打分函数,得到单观测站的路径选择函数,并对观测站不同轨迹进行评价。仿真结果表明,所提方法能够有效规避战场威胁并提高定位精度,保证战场环境下单站纯方位探测的准确性和可靠性。
To guarantee the detection accuracy and viability of the single observer,a trajectory optimization method of the single observer with the battlefield threats' constraint was proposed. The threatened factors in battlefield were analyzed,and the quantitative model between the battlefield threats and the trajectory of the observer was obtained. On that basis,considering both the accuracy and the threats extent of the trajectory,the accuracy score function and the threats score function were built,respectively. Then,the course choice function was constructed,and the different trajectories of the observer were evaluated. Simulation results show that the proposed method can avoid the threats effectively and improve the detection accuracy as well; the accuracy and reliability of single-observer bearings-only detection in battlefield can be guaranteed through the method.
To guarantee the detection accuracy and viability of the single observer,a trajectory optimization method of the single observer with the battlefield threats' constraint was proposed. The threatened factors in battlefield were analyzed,and the quantitative model between the battlefield threats and the trajectory of the observer was obtained. On that basis,considering both the accuracy and the threats extent of the trajectory,the accuracy score function and the threats score function were built,respectively. Then,the course choice function was constructed,and the different trajectories of the observer were evaluated. Simulation results show that the proposed method can avoid the threats effectively and improve the detection accuracy as well; the accuracy and reliability of single-observer bearings-only detection in battlefield can be guaranteed through the method.
引文
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[11] Wu H,Chen S X,Yang B F,et al. Robust derivative-free cubature Kalman filter for bearings-only tracking[J]. Journal of Guidance,Control,and Dynamics,2016,39(8):1866-1871.
[2] Wang Y D,Sun S M,Li L. Adaptively robust unscented Kalman filter for tracking a maneuvering vehicle[J]. Journal of Guidance Control and Dynamics, 2014, 37(5):1696-1701.
[3] Le Cadre J P,Jauffret C. Discrete-time observability and estimability analysis for bearings-only target motion analysis[J]. IEEE Transactions on Aerospace and Electronic Systems,1997,33(1):178-201.
[4]权宏伟.基于Fisher信息最大化的机载ESM无源定位[J].中南大学学报(自然科学版),2013,44(s2):334-338.QUAN Hongwei. Passive localization for airborne ESM based on Fisher information maximization[J]. Journal of Central South University(Science and Technology),2013,44(s2):334-338.(in Chinese)
[5]许志刚,周立.纯方位目标跟踪系统观测平台的贪婪法机动策略[J].淮海工学院学报(自然科学版),2014,23(2):1-5.XU Zhigang,ZHOU Li. Observer platform maneuver strategy based on greedy algorithm for bearings-only tracking[J].Journal of Huaihai Institute of Technology(Natural Science Edition),2014,23(2):1-5.(in Chinese)
[6] Xu M,Tan T,Xu S J. Stochastic optimal maneuver strategies for transfer trajectories[J]. Journal of Aerospace Engineering,2014,27(2):225-237.
[7] Ross S M,Cobb R G,Baker W P. Stochastic real-time optimal control for bearing-only trajectory planning[J].International Journal of Micro Air Vehicles,2014,6(1):1-28.
[8] Liu Y,Zhang X J,Guan X M,et al. Adaptive sensitivity decision based path planning algorithm for unmanned aerial vehicle with improved particle swarm optimization[J].Aerospace Science and Technology,2016, 58(11):92-102.
[9] Wen N F,Su X H,Ma P J,et al. Online UAV path planning in uncertain and hostile environments[J]. International Journal of Machine Learning and Cybernetics,2017,8(2):469-487.
[10]赵文婷,彭俊毅.基于VORONOI图的无人机航迹规划[J].系统仿真学报,2006,18(s2):159-162.ZHAO Wenting,PENG Junyi. VORONOI diagram-based path planning for UAVs[J]. Journal of System Simulation,2006,18(s2):159-162.(in Chinese)
[11] Wu H,Chen S X,Yang B F,et al. Robust derivative-free cubature Kalman filter for bearings-only tracking[J]. Journal of Guidance,Control,and Dynamics,2016,39(8):1866-1871.