Journal of Systems Engineering and Electronics ›› 2010, Vol. 21 ›› Issue (2): 204-210.doi: 10.3969/j.issn.1004-4132.2010.02.006

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

New statistical model for radar HRRP target recognition

Qingyu Hou,Feng Chen,Hongwei Liu,and Zheng Bao   

  1. National Lab of Radar Signal Processing,Xidian University,Xi’an 710071,P.R.China
  • Online:2010-04-26 Published:2010-01-03
  • Contact: Qingyu Hou


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.