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

作　　者：WANG Liangliang ZHOU Gongjian 

机构地区：[1]School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China [2]Key Laboratory of Marine Environmental Monitoring and Information Processing,Ministry of Industry and Information Technology,Harbin 150001,China

出　　处：《Journal of Systems Engineering and Electronics》2022年第2期247-258,共12页系统工程与电子技术（英文版）

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

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 sensors.Since 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 coordinates.The position of each cell is converted into Cartesian coordinates and predicted according to an assumed velocity.Then,the predicted Cartesian position is converted back to polar sensor coordinates for multiframe accumulation.The use of the correct model improves integration effectiveness and consequently improves algorithm performance.To handle the weak target with unknown velocity,a velocity filter bank in mixed coordinates is presented.The influence of velocity mis-match on the performance of filter bank is analyzed,and an effi-cient strategy for filter bank design is proposed.Numerical re-sults are presented to demonstrate the effectiveness of the pro-posed algorithm.

关 键 词：mixed coordinate approach velocity filtering multiframe integration weak target detection polar sensor coordinate 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]