一种无人机群协同无源定位资源优化调度方法

A Resource Optimization Scheduling Method for Cooperative Passive Location of UAVs

无人机群是执行电子侦察的有效载体,以无人机群侦察结果作为对固定或缓动辐射源的定位参数,在电子对抗作战体系中有重要意义。由于无人机平台负荷限制,其电子侦察的瞬时空-频域覆盖和测量精度受限。提出了一种对观察窗口侦察资源的协同优化调度方法,优化当前场面下各机电子侦察的瞬时空-频域覆盖选择,提高无源定位中每个定位参数对定位结果的效用,降低获取定位参数所需要的对侦察资源的占用,从而提升无人机群可同时应对的目标数。仿真结果表明,该方法可有效地降低同一目标的重访频次需求,这能显著提高可同时处理的目标数,并在较差的测向指标下仍能达到有意义的定位性能。

Unmanned aerial vehicles（UAVs）are effective carriers for electronic reconnaissance.It is of great significance to use the reconnaissance results of UAVs as the positioning parameters for fixed or slow moving emitter in the electronic warfare combat system.Due to the load limitation of UAV platform,the instantaneous space-frequency coverage and measurement accuracy of electronic reconnaissance are limited.This paper proposes a cooperative optimization scheduling method of reconnaissance resources for observation window,optimizes the instantaneous space-frequency coverage selection of electronic reconnaissance for each UAV in the present scene,improves the utility of each location parameter on the passive location result,reduces the occupancy of reconnaissance resources needed for obtaining the location parameters,thus promotes the number of targets that the UAVs can deal with at the same time.The simulation results show that this method can effectively reduce the revisit frequency demand of the same target,which can significantly promote the number of targets that can be processed at the same time,and can still achieve meaningful positioning performance under the poor direction finding index.