Abstract: 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.

Key words: ReGistration, Exact method, Information fusion, Radar network