次成分提取信息准则的加权规则方向收敛分析

doi:10.11959/j.issn.1000-436x.2020014

Journal on Communications ›› 2020, Vol. 41 ›› Issue (3): 25-32.doi: 10.11959/j.issn.1000-436x.2020014

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Direction convergence analysis of weighted rule for minor component extraction information criteria

Boyang DU¹,Xiangyu KONG¹,Xiaowei FENG²

¹ Department of Missile Engineering,the Rocket Force University of Engineering,Xi’an 710025,China
² Department of Nuclear Engineering,the Rocket Force University of Engineering,Xi’an 710025,China

Revised:2019-12-15 Online:2020-03-25 Published:2020-03-31
Supported by:
The National Natural Science Foundation of China(61673387);The National Natural Science Foundation of China(61374120);The National Natural Science Foundation of China(61903375);The National Natural Science Foundation of China(61833016)

Abstract

Abstract:

The extraction of parallel minor components algorithm in directional convergence in signal feature extraction was studied.By comparing the unweighted projection approximation subspace tracking (PAST) algorithm with the weighted PAST parallel minor component extraction algorithm,the evolution method of the minor component extraction algorithm was analyzed.Theorical analysis illustrated that the weighted rule was able to guide the angle evolution between the vectors of the state matrix and minor components.Finally,Matlab simulation verifies the validity of the proposed theory.

Key words: minor subspace extraction algorithm, weighted rule, parallel minor component analysis

CLC Number:

TP273

Boyang DU,Xiangyu KONG,Xiaowei FENG. Direction convergence analysis of weighted rule for minor component extraction information criteria[J]. Journal on Communications, 2020, 41(3): 25-32.

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References 16

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