基于改进稀疏A算法的机载单站无源接敌跟踪轨迹优化
首发时间:2015-04-23
摘要:针对机载单站无源定位接敌过程中提高对目标定位精度的要求,进行跟踪轨迹优化研究,建立了轨迹优化目标优化模型、约束条件模型,针对传统A算法搜索速度比较慢的问题,综合节点扩展、节点控制以及启发搜索等优化策略提出改进的稀疏A算法,采用分步求解策略进行轨迹求解,解决了目标运动导致优化终点变化的问题,仿真表明新算法所得优化轨迹较单步角度搜索优化轨迹可以取得更好的目标定位跟踪效果。
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Tracking trajectory optimization for single airborne observer passive engagement based on improved sparse A algorithm
Abstract:For the needs of improving location accuracy in single airborne observer passive engagement, the tracking trajectory is studied. The model of objective optimization and constraints are constructed. For the problem that A algorithm is time-consuming, an improved sparse A algorithm is put forward by using node expansion, node control and heuristic search technologies. The step by step optimization method is adopted to solve the problem of end point change brought by target motion. The simulation results show that the optimization trajectory got from new algorithm can get better target locating and tracking effect than angle search optimization algorithm.
Keywords: psingle airborne observer passive location target tracking sparse A algorithm trajectory optimization
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No.4637264102609514****
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