基于双基地距离的多站多外辐射源无源定位算法

针对利用多个外辐射源和多个接收站的无源雷达目标定位场景，提出了一种利用三步加权最小二乘的双基地距离（Bistatic Range，BR）定位问题代数解.首先，在第一步加权最小二乘估计中，通过引入多个辅助参数，将BR观测方程线性化，并得到目标位置粗估计；在后两步加权最小二乘估计中利用辅助参数与目标位置参数的约束关系来提高目标位置的估计精度.对算法理论误差分析表明，其定位精度可以达到克拉美罗界.蒙特卡罗仿真结果表明，算法的定位精度优于现有算法.

Multi-transmitter Multi-receiver Passive Location Using Bistatic Range Measurements

This paper investigates the problem of locating a target using a passive radar system with multiple transmitters and multiple receivers.The bistatic range (BR),which corresponds to the sum of transmitter-to-target and target-to-receiver distances is used as the measurement.An algebraic solution employing three-step weighted least squares (3WLS) minimizations is proposed.In the first stage,the BR measurements are linearized by introducing multiple additional parameters and a WLS minimization is used to obtain a rough estimate;then in the latter two stages,the relationship between the additional parameters and the target location parameters is utilized to refine the estimate.Theoretical accuracy analysis indicates that the proposed algorithm can achieve the Cramer row lower bound (CRLB),and Monte-Carlo simulations demonstrate the proposed algorithm outperforms existing algorithms.