基于限定记忆加权的辅雷达时变系统误差估计方法

Auxiliary Radar Time-varying System Error Estimation Method Based on Weighted Limited Memory

针对传统误差配准算法无法对雷达时变系统误差进行精准估计的问题,提出了一种参照中心雷达的基于EKF的指数加权MAP辅雷达时变系统误差估计算法。首先,对恒定系统误差下次优MAP估值器进行分析;在此基础上,引入指数加权因子,给出时变系统误差估值器的递推公式;最后,利用仿真及对比实验验证对所提方法进行了性能分析。相较于现有误差配准算法,该自适应算法能够对时变系统误差进行有效估计,且滤波精度明显提高。

Aiming at the problem that the traditional error registration algorithm can not accurately estimate the radar time-varying system error,an EKF-based exponential weighted MAP auxiliary radar time-varying system error estimation algorithm based on central radar is proposed.Firstly,the suboptimal MAP estimator of constant system error is analyzed.On this basis,the ex⁃ponential weighting factor is introduced to give the recursive formula of the time-varying system error estimator.Finally,simulation and comparison experiments are carried out to verify the performance of the proposed method.Compared with the existing error regis⁃tration algorithm,the adaptive algorithm can effectively estimate the time-varying system error,and the filtering accuracy is signifi⁃cantly improved.