吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (3): 952-956.doi: 10.13229/j.cnki.jdxbgxb20170204

• Orginal Article • Previous Articles     Next Articles

Improved algorithm of multiple signal classification for single snapshot

CHEN Tao, CUI Yue-han, GUO Li-min   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China
  • Received:2017-03-08 Online:2018-05-20 Published:2018-05-20

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Abstract: The classical MUSIC algorithm based on the subspace estimation is dependent on covariance matrix estimation, which is built from a lot of snapshots. However, the number of the available snapshots is indeterminacy in the practical application. In order to solve the problem, we propose an improved MUSIC algorithm for single snapshot, called ISS-MUSIC algorithm. This algorithm improves the performance of the classical MUSIC algorithm, and it combines the method of constructing pseudo-covariance and the method of conjugate enhancement. The advantage of ISS-MUSIC algorithm is that it can be used in the case of single snapshot. Meanwhile, its performance outperforms the method of single snapshot MUSIC algorithm based on pseudo-covariance without enhancing conjugate.

Key words: information processing technology, array signal processing, direction of arrival(DOA) estimation, single snapshot, classical multiple signal classification (MUSIC) algorithm

CLC Number: 

  • TN971.1
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