吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 490-496.doi: 10.13229/j.cnki.jdxbgxb201402034

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New spatial spectrum estimation method based on partly overlapped signals

SI Wei-jian, WU Di, CHEN Tao   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2012-10-25 Online:2014-02-01 Published:2014-02-01

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Abstract:

In order to improve the resolution of spatial spectrum estimation multiple signal classification (MUSIC) algorithm in the presence of colored noise fields, a new spatial spectrum estimation method was proposed. This method is based on the receiving characteristic of pulse signals in an actual direction finding system, when decoy signals overlap radar signals. In this method, first, the receiving data are divided into several segments; then the number of signals of every receiving data segment is estimated; finally, the covariance matrix of every receiving data segment is normalized by covariance matrix diagonal elements. The covariance matrix of every signal is given by using covariance difference MUSIC algorithm. By searching spectrum peak, the result of Direction of Arrival (DOA) estimation can be obtained step by step. Both simulation and test based on actual direction finding system prove the proposed method realizable.

Key words: communication, DOA estimation, colored noise, difference MUSIC algorithm, part overlap, resolution

CLC Number: 

  • TN911

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