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| Fast Noise Subspace Estimation via the Lanczos Algorithm |
| Huang Lei; Wu Shun-jun;Zhang Lin-rang |
| National Key Lab of Radar Signal Processing, Xidian Univ., Xi’an 710071, China |
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Abstract A novel method is proposed for estimating the noise subspace in the case where the signals are coherent. The characters of MultiStage Wiener Filter (MSWF) show that the pre-filters of redundant stages of the MSWF can create an orthonormal basis for the noise subspace, then with the classical spatial smoothing technique and the Lanczos algorithm, the noise subspace can be quickly obtained even under the condition that coherent signals exist. The new method outperforms the eigendecomposition based method in terms of computational complexity. Finally, simulation results are presented to illustrate the performance of the proposed method for the noise subspace via the classical MUSIC estimator.
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Received: 07 July 2004
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2006, Vol. 28 
