Signal Subspace Fitting Based on the Multi-stage Wiener Filter

Huang Lei; Wu ShunJun; Zhang LinRang

Volume 27 Issue 8

Aug. 2005

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Article Navigation > Journal of Electronics & Information Technology > 2005 > 27(8): 1197-1200

Huang Lei, Wu ShunJun, Zhang LinRang. Signal Subspace Fitting Based on the Multi-stage Wiener Filter[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1197-1200.

Citation:

Huang Lei, Wu ShunJun, Zhang LinRang. Signal Subspace Fitting Based on the Multi-stage Wiener Filter[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1197-1200.

Huang Lei, Wu ShunJun, Zhang LinRang. Signal Subspace Fitting Based on the Multi-stage Wiener Filter[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1197-1200.

Citation:

Huang Lei, Wu ShunJun, Zhang LinRang. Signal Subspace Fitting Based on the Multi-stage Wiener Filter[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1197-1200.

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Signal Subspace Fitting Based on the Multi-stage Wiener Filter

Received Date: 2004-03-08
Rev Recd Date: 2004-07-19
Publish Date: 2005-08-19

Abstract

Abstract

A new method for signal subspace fitting is presented. Firstly, a novel criterion of signal subspace fitting is derived. It is shown that the correct knowledge of the number of signals is unnecessary since the columns of the signal subspace can be much lower than the number of signals. The proposed method does not resort to the estimate of the covariance matrix or its eigendecomposition, thereby implying much lower computational complexity. Finally, the effectiveness of the proposed approach is verified by numerical results.

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References

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