New statistical model for radar HRRP target recognition  

作　　者：Qingyu Hou Feng Chen Hongwei Liu Zheng Bao 

机构地区：[1]National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, R R. China

出　　处：《Journal of Systems Engineering and Electronics》2010年第2期204-210,共7页系统工程与电子技术（英文版）

基　　金：supported in part by the National Natural Science Foundation of China(60772140);the Program for Cheung Kong Scholarsand Innovative Research Team in University(IRT0645)

摘　　要：The mixture of factor analyzers （MFA） can accurately describe high resolution range profile （HRRP） statistical charac- teristics. But how to determine the proper number of the models is a problem. This paper develops a variational Bayesian mixture of factor analyzers （VBMFA） model. This procedure can obtain a lower bound on the Bayesian integral using the Jensen＇s inequality. An analytical solution of the Bayesian integral could be obtained by a hypothesis that latent variables in the model are indepen- dent. During computing the parameters of the model, birth-death moves are utilized to determine the optimal number of model au- tomatically. Experimental results for measured data show that the VBMFA method has better recognition performance than FA and MFA method.The mixture of factor analyzers （MFA） can accurately describe high resolution range profile （HRRP） statistical charac- teristics. But how to determine the proper number of the models is a problem. This paper develops a variational Bayesian mixture of factor analyzers （VBMFA） model. This procedure can obtain a lower bound on the Bayesian integral using the Jensen＇s inequality. An analytical solution of the Bayesian integral could be obtained by a hypothesis that latent variables in the model are indepen- dent. During computing the parameters of the model, birth-death moves are utilized to determine the optimal number of model au- tomatically. Experimental results for measured data show that the VBMFA method has better recognition performance than FA and MFA method.

关 键 词：radar automatic target recognition （RATR） high reso- lution range profile （HRRP） variational Bayesian mixtures of factor analyzers （VBMFA） variational Bayesian（VB） mixtures of factor analyzers （MFA）. 

分 类 号：O641.3[理学—物理化学] TN957.52[理学—化学]