Estimaton of the number of signals based on orthogonal projection of forward-backward covariance matrix

被引：1
|
作者：
Mu J.-C. [1 ,2 ]
Gao M.-G. [1 ]
Jiang C.-Y. [1 ]
机构：
[1] School of Information and Electronics, Beijing Inst. of Technology
[2] School of Electronic and Information Engineering, Beihang Univ.
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 10期
关键词：
Estimation of the number of signals; Forward-backward spatial smoothing; Gram-Schmidt (GS) orthogonalization algorithm; Unitary transform;
D O I：
10.3969/j.issn.1001-506X.2010.10.04
中图分类号：
学科分类号：
摘要：
A fast algorithm for estimating the number of multiple spatial signals with uniform linear array based on forward-backward sample covariance matrix orthogonal projection (SCMOP) is proposed. Firstly, a unitary transform is performed on the forward-backward sample covariance matrix, and then the column vectors of the transformed matrix are orthogonalized via Gram-Schmidt (GS) orthogonalization algorithm. The number of signal sources is estimated by comparing the modulus of the orthogonalized vectors with an adaptive threshold, which is derived from the asymptotic distribution properties of the estimation errors of the sample covariance matrix. Computer simulations are given to illuminate the correctness and efficiency of the algorithm.
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页码：2036 / 2040
页数：4
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