Multiframe weak target track-before-detect based on pseudo-spectrum in mixed coordinates  

作　　者：Liangliang WANG Gongjian ZHOU Thiagalingam KIRUBARAJAN 

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 [3]Department of Electrical and Computer Engineering,McMaster University,ON,Hamilton L8S 4K1,Canada

出　　处：《Chinese Journal of Aeronautics》2022年第5期97-113,共17页中国航空学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61671181)。

摘　　要：Traditional multiframe Track-Before-Detect(TBD)may incur adverse integration loss resulting from model mismatch in sensor coordinates.Its suboptimal integration strategy may cause target envelope degradation.To address these issues,a pseudo-spectrum-based multiframe TBD in mixed coordinates is proposed firstly.The data search for energy integration is conducted based on an accurate model in the x-y plane while target energy is integrated based on pseudo-spectrum in sensor coordinates.The algorithm performance is improved since the model mismatch is eliminated,and the pseudo-spectrum based integration facilitates well maintained target envelope.The detailed multiframe integration procedure and theoretical target integrated envelope are derived.Secondly,to cope with the unknown target velocity,a velocity filter bank based on pseudo-spectrum in mixed coordinates is proposed.The effect of velocity mismatch on algorithm performance is analyzed and an efficient method for filter bank design is presented.Thirdly,a parameter estimation method using characteristics of integrated envelope is presented for improved target polar position and Cartesian velocity estimation.Finally,numerical results are provided to demonstrate the effectiveness of the proposed method.

关 键 词：Mixed coordinates Multiframe detection Pseudo-spectrum TRACK-BEFORE-DETECT Weak target detection 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]