吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (4): 1295-1300.doi: 10.13229/j.cnki.jdxbgxb201704040

• Orginal Article • Previous Articles     Next Articles

Estimation of number of signals based on Otsu class variance with shift covariance matrix

GUAN Ji-shi1, 2, SHI Yao-wu1, SHAN Ze-biao1, 3, SHI Yi-ran1, SHI Hong-wei3   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Beijing Branch, China Nuclear Power Technology Research Institute, Beijing 100086,China;
    3.School of Electric and Information Engineering, Changchun University of Science and Technology, Changchun 130022,China
  • Received:2016-05-21 Online:2017-07-20 Published:2017-07-20

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Abstract: An estimation of the number of signals based on Otsu class variance with shift covariance matrix is proposed for array signal processing. The eigenvalues of the shift covariance matrix derived by noise are expected to be zero even with stable noise, so the eigenvalues derived by signal power are obviously smaller than those derived by noise, which is an advantage for signal number estimation. When class variance, which is used for classification in many problems, is applied to estimate the signal number, Otsu class variance can efficiently distinguish the eigenvalues derived by noise and by signal power. Combining the shift covariance matrix and Otsu class variance, an efficient method is obtained to estimate the signal number in array signal processing. Theoretical analysis and simulation experiments show that the performance of the proposed method is better than that of traditional method.

Key words: information processing, source number estimation, shift covariance matrix, Otsu class variance method

CLC Number: 

  • TN911
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