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

RICH HTML

0   

PDF (PC)

117

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
[1] Dmochowski J, Benesty J, Affes S. Direction of arrival estimation using the parameterized spatial correlation matrix[J]. IEEE Transactions on Audio, Speech, and Language Processing, 2007,15(4):1327-1339.
[2] Wan F,Zhu W,Swamy M N S.Spacial extrapolation-based blind DOA estimation approach for closely spaced sources[J].IEEE Transactions on Aerospace and Electronic Systems,2010,46(2):569-582.
[3] Reddy V V, Ng B P, Khong A W H. Derivative-constrained frequency-domain wideband DOA estimation[J]. Multidimensional Systems and Signal Processing, 2014,25(1):211-233.
[4] Yan F G, Jin M, Liu S, et al. Real-valued MUSIC for efficient direction estimation with arbitrary array geometries[J]. IEEE Transactions on Signal Processing, 2014,62(6):1548-1560.
[5] Sharma K, Santosh S. A review on ESPRIT—estimation of signal parameters via rotational invariance techniques[J]. International Journal of Engineering Research, 2013,2(3):243-252.
[6] 单泽彪, 石要武, 刘小松, 等. 应用人工蜂群算法的动态波达方向跟踪[J]. 光学精密工程, 2015, 23(3): 838-845.
Shan Ze-biao, Shi Yao-wu, Liu Xiao-song, et al. DOA tracking of moving targets by artificial bee colony algorithm[J]. Optics and Precision Engineering, 2015, 23(3): 838-845.
[7] 单泽彪, 石要武, 刘小松, 等. 时变遗忘因子动态DOA跟踪算法[J]. 吉林大学学报:工学版,2016,46(2):632-638.
Shan Ze-biao, Shi Yao-wu, Liu Xiao-song, et al. DOA tracking algorithm of moving targets with variable forgetting factor[J]. Journal of Jilin University(Engineering and Technology Edition),2016,46(2):632-638.
[8] 石要武,陈淼,单泽涛, 等. 基于特征空间MUSIC算法的相干信号波达方向空间平滑估计[J]. 吉林大学学报:工学版,2017,47(1):268-273.
Shi Yao-wu, Chen Miao, Shan Ze-tao, et al. Spatial smoothing technique for coherent signals DOA estimation via eigen space MUSIC algorithm[J]. Journal of Jilin University(Engineering and Technology Edition),2017,47(1):268-273.
[9] 张小飞, 陈华伟, 仇小锋, 等. 阵列信号处理及MATLAB实现[M]. 北京:电子工业出版社,2015.
[10] 张新明, 孙印杰, 郑延斌. 二维直方图准分的Otsu 图像分割及其快速实现[J]. 电子学报, 2011, 39(8), 1778-1784.
Zhang Xin-ming, Sun Yin-jie, Zheng Yan-bin. Precise two-dimensional Otsu's image segmentation and its fast recursive realization[J]. Acta Electronica Sinica, 2011,39(8): 1778-1784.
[11] Nikias C L, Shao M. Signal Processing with Alpha Stable Distribution and Applications[M]. New York: John Wiley & Sons Inc,1995.
[12] Swami A, Sadler B M. On some detection and estimation problems in heavy-tailed noise[J]. Signal Processing, 2002,82(10):1471-1488.
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[7] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[8] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[9] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[10] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[11] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[12] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[13] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[14] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
[15] LI Juan, MENG Ke-xin, LI Yue, LIU Hui-li. Seismic signal noise suppression based on similarity matched Wiener filtering [J]. 吉林大学学报(工学版), 2017, 47(6): 1964-1968.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd