一种有效的被动传感器固定辐射源定位技术

An Efficient Method for Stationary Emitter Localization Using Passive Sensor

在传感器测量误差先验信息未知的前提下,如何利用被动传感器的测角信息获得高精度的辐射源位置是亟待解决的难题。针对该问题,提出基于网格搜索最大后验准则的批处理定位算法。算法利用当前时刻所有的测量角度,结合载机平台自身的位置和候选位置计算综合代价函数,通过搜索上一时刻更新位置周围代价函数最小的候选位置,确定当前时刻辐射源的最优位置。仿真实验表明,同等条件下与传统的扩展卡尔曼滤波和无迹卡尔曼滤波等非线性滤波方法相比,所提算法在收敛速度和定位精度方面均有较大的提高,为辐射源定位提供了一种有效方法。

How to locate the emitter precisely using angle measurements with statistical information of measurement error unknown has become an urgent problem.To solve this problem,this paper proposes the grid search maximum a posteriori （GSMAP） algorithm.The algorithm uses all the angle measurements and aircraft position to calculate the comprehensive cost.Then,by searching location around the last update which produces the minimum cost,we take it as the optimal emitter location.Simulation results show that the proposed algorithm yields a rather high location precision and convergence rate compared with traditional Extended Kalman Filter and Unscented Kalman Filter methods,which provides an efficient tool for the stationary emitter localization.