Fast Noise Subspace Estimation via the Lanczos Algorithm

Huang Lei; Wu Shun-jun; Zhang Lin-rang

Volume 28 Issue 1

Sep. 2010

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Huang Lei, Wu Shun-jun, Zhang Lin-rang. Fast Noise Subspace Estimation via the Lanczos Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(1): 21-25.

Citation:

Huang Lei, Wu Shun-jun, Zhang Lin-rang. Fast Noise Subspace Estimation via the Lanczos Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(1): 21-25.

Huang Lei, Wu Shun-jun, Zhang Lin-rang. Fast Noise Subspace Estimation via the Lanczos Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(1): 21-25.

Citation:

Huang Lei, Wu Shun-jun, Zhang Lin-rang. Fast Noise Subspace Estimation via the Lanczos Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(1): 21-25.

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Fast Noise Subspace Estimation via the Lanczos Algorithm

Received Date: 2004-07-07
Rev Recd Date: 2004-11-05
Publish Date: 2006-01-19

Abstract

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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References

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