基于改进EX的机动雷达误差配准算法

A Modified Exact Method-Based Mobile Radar Registration Algorithm

针对EX(Exact Method)算法的大计算量和耗时对其工程应用造成的不利影响,提出了一种改进的EX算法(MEX算法),通过优化EX算法的算法结构,消除其存在的冗余运算,提高了实时性;为解决机动雷达情况下的误差配准问题,通过改进MEX算法以适应系统存在姿态角系统误差的特点,提出了扩展的MEX算法(EMEX算法);把EMEX算法推广应用到多机动雷达情况下的系统误差估计中,得到了采用集中式融合结构的EMEX算法(CEMEX算法)。为验证提出算法的正确性和有效性,对算法进行蒙特卡洛仿真比较,结果表明,MEX算法在保持EX算法估计性能不变的前提下,大大减少了算法耗时,提高了EX算法的估计效率;EMEX算法能够有效地估计出机动雷达的各种系统误差;CEMEX算法能够有效地融合多部雷达量测的信息,具有良好的系统误差估计性能。

To overcome adverse effects caused by the high computational cost and time consumption of the EX algorithm in the engineering application,a modified exact method（MEX） is proposed to save the time consumption and improve the efficiency of exact method by optimizing the algorithm structure and removing the redundant calculation of exact method.To resolve the registration problem in the mobile radars＇ environment,an extended modified exact method（EMEX） is proposed by considering the new characteristics that mobile radar has attitude biases on the basis of MEX algorithm.Furthermore,a centralized extended modified exact algorithem adopting centralized fusion architecture is proposed to adapt the EMEX algorithm to multiradars＇ environment.To testify correctness and validity of the proposed algorithms,the simulation is carried out.The result shows that MEX algorithm not only has the same performances in bias estimation,but also greatly reduces the time consumption and improves the efficiency of EX algorithm.EMEX algorithm can effectively estimate the system bias of mobile radars and CEMEX algorithm can improve the performances in the system bias estimation by effectively fusing the information from multiradars＇ measurements.