基于穿越时刻的前向散射雷达网目标参数估计

Target parameters estimation of FSR net based on crossing times

基于全球导航卫星系统(global navigation satellite system,GNSS)的外辐射源雷达是当前雷达界关注的热点。本文首先建立了以GNSS为辐射源的前向散射雷达(forward scatter radar,FSR)网模型,实现了仅利用目标穿越多个基线时刻来估计目标运动参数,并从理论上证明了最小组网构型;然后推导了参数估计的精度,并通过仿真分析了穿越时刻误差、站址误差、发射/接收站布局、目标高度等对目标参数估计精度的影响。仿真结果表明,在考虑系统实际参数测量误差和站址误差条件下,目标位置估计误差可达百米量级,可以满足预警要求,所得结论对天发地收模式下FSR网系统构建具有参考意义。

The passive radar based on global navigation satellite system(GNSS)is a hot spot in the current radar field.Firstly,a forward scatter radar(FSR)net model with GNSS as the radiation source is proposed.The estimation technique of the kinematic parameters of a moving target using only the time of target crossing baselines is realized,and the minimum network configuration is proved theoretically.Then,the accuracy of parameter estimation is derived,and the influence of crossing time error,station location error,transmitting/receiver layout,and target height on the accuracy of target parameter estimation are analyzed by simulation.The simulation results show that considering the actual parameter measurement error and station location error conditions,the target position estimation error can reach the order of 100 meters,which can meet the early warning requirements.The obtained conclusions can provide a reference for the construction of the FSR net in the mode of sky transmitting and earth receiving.