New targets number estimation method under colored noise background 被引量：1

New targets number estimation method under colored noise background

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摘要 A multiple targets detection method based on spatial smoothing （MTDSS） is proposed to solve the problem of the source number estimation under the colored noise background. The forward and backward smoothing based on auxiliary vectors which are received data on some specific elements is computed. By the spatial smoothing with auxiliary vectors, the correlated signals are decorrelated, and the colored noise is partially alleviated. The correlation matrix formed from the cross correlations between subarray data and auxiliary vectors is computed. By exploring the second-order statistics property of the covariance matrix, a threshold based on Gerschgorin radii of the smoothing correlation matrix is set to estimate the number of sources. Simulations and experimental results validate that MTDSS has an effective performance under the condition of the colored noise background and coherent sources, and MTDSS is robust with the correlated factor of signals and noise. A multiple targets detection method based on spatial smoothing （MTDSS） is proposed to solve the problem of the source number estimation under the colored noise background. The forward and backward smoothing based on auxiliary vectors which are received data on some specific elements is computed. By the spatial smoothing with auxiliary vectors, the correlated signals are decorrelated, and the colored noise is partially alleviated. The correlation matrix formed from the cross correlations between subarray data and auxiliary vectors is computed. By exploring the second-order statistics property of the covariance matrix, a threshold based on Gerschgorin radii of the smoothing correlation matrix is set to estimate the number of sources. Simulations and experimental results validate that MTDSS has an effective performance under the condition of the colored noise background and coherent sources, and MTDSS is robust with the correlated factor of signals and noise.

作者 Jing Wang Jianguo Huang Jing Han Zhenhua Xu

机构地区 College of Marine Engineering

出处《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第6期831-837,共7页 系统工程与电子技术（英文版）

基金 supported by the National Natural Science Foundation of China (61001153) the Fundamental Research Program of Northwestern Polytechnical University (JC20100223)

关键词 colored noise auxiliary vector multiple targets detec-tion spatial smoothing Gerschgorin radii. colored noise, auxiliary vector, multiple targets detec-tion, spatial smoothing, Gerschgorin radii.

分类号 TP919.8 [自动化与计算机技术] TN911.7 [电子电信—通信与信息系统]

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1张杰,廖桂生,王珏.空间相关色噪声下基于酉变换的信号源数目估计[J].电子学报,2005,33(9):1581-1585. 被引量：12
2李京华,周海燕,许家栋,李红娟.基于MDL比值的战场目标个数盲估计算法[J].西北工业大学学报,2008,26(6):712-717. 被引量：6
3马倩,廖桂生,李军.一种针对色噪声相干源的源数目估计方法[J].雷达科学与技术,2008,6(1):56-60. 被引量：5

二级参考文献23

1张杰,廖桂生,王珏.空间相关色噪声下基于酉变换的信号源数目估计[J].电子学报,2005,33(9):1581-1585. 被引量：12
2Bartlett M S. A Note on the Multiplying Factors for Various x^2 Approximations. Journal of the Royal Statistical Society. Series B, 1954, 16(2): 296-298
3Lawley D N. Tests of Significance of the Latent Roots of the Covariance and Correlation Matrices. Biometrika, 1956, 43:128-136
4Akaike H. A New Look at the Statistical Model Identification. IEEE Trans on Automatic Control, 1974,19(6):716- 723
5Karhunen J, Cichocki A, Kasprzak W, et al. On Neural Blind Separation with Noise Suppression and Redundancy Reduction. International Journal of Neural Systems, 1997, 8(2)5 219-237
6Wax M, Kailath T. Detection of Signals by Information Theoretic Criteria. IEEE Trans on ASSP, 1985, 33(2): 387- 392
7Wu Q, Fuhrmann D R. A Parametric Method for Determining the Number of Signals in Narrow-Band Direction Finding. IEEE Trans on Signals Processing, 1991, 39(8):1848-1857
8Rissanen J. Modeling by Shortest Data Description. Automatica, 1978, 14:465-471
9Schwartz G. Estimating the Dimension of a Model. Ann Stat, 1978, 6(2): 461-464
10Stoica P, Cedervall M. Detection Tests for Array Processing in Unknown Correlated Noise Fields. IEEE Trans on SP, 1997, 45(9): 2351-2362