误差校正下单站多外辐射源BR/BRR多目标定位算法

单站多外辐射源雷达定位系统利用多组双基距(BR)和双基距变化率(BRR)量测值对多运动目标定位。量测偏差的存在使得定位性能下降,对此该文提出一种基于迭代后验关联最小二乘估计的联合误差校正和目标定位算法。首先引入辅助变量对BR和BRR非线性观测方程伪线性化,建立目标参数和偏差的联合估计方程。其次,利用辅助变量和目标参数之...

BR/BRR Passive Localization and Registration for Multiple Moving Targets in Single-observer Multi-illuminator Radar Systems

Single-observer Multi-illuminator radars localize multiple moving targets using multiple Bistatic Range (BR) and Bistatic Range Rate (BRR) measurements. However the existence of the biases would degrade the localization performance. A novel joint localization and registration based on iterative post-estimation Dependent Least Squares (DLS) is proposed. Firstly, a new jointed target parameters and biases estimation model is given by linearizing the BR and BRR measurement equation with auxiliary parameters. Then a DLS algorithm refines the target parameters by reusing the relationships between the target parameters and auxiliary parameters. An iterative post-estimate further refines the estimation accuracy and global coverage by biases registration. Finally its theoretical error and global convergence are obtained analytically. Simulation results show that the proposed algorithm has a good global convergence behavior and the performance can achieve the Cramer-Rao Lower Bound.