误差校正下外辐射雷达无源定位算法

针对多基外辐射源雷达定位中存在系统误差的问题,提出了一种基于到达角度(DOA)与到达时差(TDOA)的外辐射源雷达无源定位和系统误差校正算法。首先,该方法引入辅助变量对非线性的DOA 和TDOA 量测方程进行线性化,利用迭代加权最小二乘算法得到对目标位置和系统误差的联合估计;然后,利用辅助变量与目标位置的关联性,设计了一种关联最小二乘算法对初始估计值进行改进;最后,通过后验迭代估计进一步提高目标定位精度。仿真结果表明该算法能够有效地估计系统误差和目标状态。

Passive Radar Localization Algorithm with Bias Registration

A joint passive localization and bias registration algorithm using Direction of Arrival (DOA) and Time Differences of Arrival (TDOA) measurements is proposed to solve the localization problem in the multi-static passive radar system using illuminators of opportunity under the influence of system error. Firstly, the nonlinear DOA and TDOA measurement equations are linearized by introducing an intermediate variable. Then, a joint estimation of target location and system biases are obtained by a recursive weighted least squares algorithm. Moreover, a dependent least squares algorithm is developed to improve the initial estimation using the relationship between the intermediate variable and target location variables. Finally, an iterative post-estimate procedure is exploited to further enhance the accuracy of target localization. Simulations indicate that the proposed algorithm can effectively estimate the system biases and target state.