NDLI: Radar HRRP statistical recognition with Local Factor Analysis by automatic Bayesian Ying Yang harmony learning

Content Provider	IEEE Xplore Digital Library
Author	Lei Shi Penghui Wang Hongwei Liu Lei Xu Zheng Bao
Copyright Year	2010
Description	Author affiliation: Department of Computer Sci. & Eng., The Chinese University of Hong Kong, Shatin, NT, Hong Kong (Lei Shi; Lei Xu) \|\| National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China (Penghui Wang; Hongwei Liu; Zheng Bao)
Abstract	Radar high-resolution range profiles (HRRPs) are typical high-dimensional non-Gaussian and inter-dimensional dependently distributed data, the statistical modelling of which is a challenging task for HRRP based target recognition. Considering the inter-dimensional dependence, a recent work [1] applied Factor Analysis (FA) to model radar HRRP data and showed promising recognition results, which however still restricts to Gaussian distribution. This paper aims to simultaneously consider the inter-dimensional dependence and the non-Gaussian distribution, by using Local Factor Analysis (LFA) model. For not only learning parameters but also appropriately selecting the component number and local hidden dimensionalities, we adopt the automatic Bayesian Ying-Yang (BYY) harmony learning, in order to relieve the extensive computation and inaccurate evaluation encountered in the conventional two-phase implementation. Moreover, a heuristic aspect-frame partition is implemented based on the BYY harmony criterion rather than AIC or BIC in the previous work, to tackle the radar HRRP's target-aspect sensitivity. Experiments show improved recognition performances over [1] on the same measured HRRP dataset, i.e., for both equal interval and heuristic aspect-frame partitions, LFA automatically learned by BYY always outperforms FA selected by a two-phase procedure with either AIC or BIC.
Starting Page	1878
Ending Page	1881
File Size	255779
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495353
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Radar scattering Target recognition Parametric statistics Radar signal processing Pattern recognition Gaussian distribution Pattern analysis Signal analysis Distributed computing heuristic aspect-frame partition HRRP sensitivity non-Gaussian inter-dimensional dependence automatic model selection BYY harmony learning
Content Type	Text
Resource Type	Article

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Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning

Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony

Radar HRRP statistical recognition with local factor analysis by automatic Bayesian Ying-Yang harmony learning

PenghuiWANG,LeiSHI,LanDU,HongweiLIU,LeiXU,ZhengBAO (2011)

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