Journal of Jilin University(Information Science Ed

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Number Estimation of Signals Based on Otsu Class Variance with Pseudocovariance Matrix

SHAN Zetao 1 , LIU Xiaosong 2 , SHAN Zebiao 2,3 , ZHU Lanxiang 3,4 , SHI Yaowu 3   

  1. 1. Manufacturing Department, Baoding Weiyi Motor Company Limited, Baoding 072550, China;
    2. School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;
    3. College of Communication Engineering, Jilin University, Changchun 130012, China;
    4. School of Electronic Information, Changchun Architecture and Civil Engineering College, Changchun 130699, China
  • Received:2016-12-15 Online:2017-09-29 Published:2017-10-23

Abstract: In order to improve the success probability of number estimation of signals in the presence of color
noise, an Otsu method based on pseudocovariance matrix is proposed. The pseudocovariance matrix composed of
delay correlation of array output signals is immune to white Gaussian noise and colored Gaussian noise under
certain conditions. The array’s effective aperture is improved by using the time correlation between arrays, and
then the differences between signal singular values and noise singular values, which are obtained from the
singular value decomposition of pseudocovariance matrix, are also improved. And by utilizing Otsu method to
classify the signal singular values and noise singular values, the probability of successful estimation of source
number is further improved.

Key words: estimation of the number of signal, array signal processing, pseudocovariance matrix, Otsu class variance

CLC Number: 

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