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Signal Subspace Fitting Based on the Multi-stage Wiener Filter |
Huang Lei;Wu ShunJun;Zhang LinRang |
Key Lab for Radar Signal Processing,Xidian Univ.,Xi’an 710071,China |
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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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Received: 08 March 2004
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