Multiframe track-before-detect method based on velocity filtering in mixed coordinates

作     者：WANG Liangliang ZHOU Gongjian WANG Liangliang;ZHOU Gongjian

作者机构：School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbin 150001China Key Laboratory of Marine Environmental Monitoring and Information ProcessingMinistry of Industry and Information TechnologyHarbin 150001China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2022年第33卷第2期

页      面：247-258页

核心收录：

学科分类：08[工学] 080202[工学-机械电子工程] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0701[理学-数学] 

基　　金：supported by the National Natural Science Foundation of China(61671181) 

主　　题：mixed coordinate approach velocity filtering multiframe integration weak target detection polar sensor coordinate 

摘      要：In this paper,a velocity filtering based track-before-detect algorithm in mixed coordinates is presented to address the problem of integration loss caused by inaccurate motion model in polar coordinate *** the motion of a con-stant velocity(CV)target is better modeled in Cartesian coordi-nates,the search of measurements for integration in polar sensor coordinates is carried out according to the CV model in Cartesian coordinates instead of an approximate model in polar sensor *** position of each cell is converted into Cartesian coordinates and predicted according to an assumed ***,the predicted Cartesian position is converted back to polar sensor coordinates for multiframe *** use of the correct model improves integration effectiveness and consequently improves algorithm *** handle the weak target with unknown velocity,a velocity filter bank in mixed coordinates is *** influence of velocity mis-match on the performance of filter bank is analyzed,and an effi-cient strategy for filter bank design is *** re-sults are presented to demonstrate the effectiveness of the pro-posed algorithm.