基于D-S证据理论的反辐射无人机群协同搜索

摘要

针对目前主要从概率角度对搜索环境进行描述的搜索方法所存在的不合理性问题,提出了一种基于D-S证据理论的反辐射无人机群协同搜索方法,提高了反辐射无人机对作战区域内目标雷达的搜索效率.对无人机运动及被动雷达导引头探测模型进行建模,得出了反辐射无人机的有效侦察范围;利用D-S证据理论对搜索环境进行建模,建立了基于置信区间和访问次数的搜索图,提出了无人机对雷达的搜索指标和搜索收益,得出了搜索指标的更新公式;采用滚动时间窗搜索策略,实现了反辐射无人机群搜索路径的滚动优化.仿真结果验证了基于D-S证据理论的反辐射无人机群协同搜索的高效性.%To deal with the problem of the unreasonable task area description from the angle of probability,a new method of cooperative search based on D-S evidence theory was put forward and the searching efficiency of UAV cluster for radars in the area of operation is improved.First of all,the UAV-motion model and the passive radar seeker detection model were established.Furthermore,the effective detection range of anti-radiation UA-Vs was gained.Secondly,the search model for the operation area was built based on D-S evidence theory.The search map based on confidence interval and visits was established.Then,the search metrics and the search ben-efit were put forward.The update formula of the search metrics was reached in addition.The rolling optimiza-tion of anti-radiation UAV cluster's search path was achieved on the base of sliding time window strategy.Ac-cording to the simulation,the high-efficiency of cooperative search based on D-S evidence theory was proved.