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Improving MUSIC performance in snapshot deficient scenario via weighted signal-subspace projection

Gui-min Xu

Open publisher page 7 citations

Abstract

Aiming at the performance of MUSIC algorithm decreases in DOA estimation with snapshot deficient scenario,a new method based on weighted signal subspace projection is proposed.The signal-subspace with reciprocal of principle eigenvalue is weighted in this method.Then the result is added over MUSIC spatial spectrum. The high-resolution of noise subspace processing is remained,and robustness via signal subspace processing is improved in this method.Theoretical and statistical analysis show that its performance is better than that of MUSIC,especially in snapshot deficient scenario.

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What this paper is about

Aiming at the performance of MUSIC algorithm decreases in DOA estimation with snapshot deficient scenario,a new method based on weighted signal subspace projection is proposed.The signal-subspace with reciprocal of principle eigenvalue is weighted in this method.Then the result is added over MUSIC spatial spectrum. The high-resolution of noise subspace processing is remained,and robustness via signal subspace processing is improved in this method.Theoretical and statistical analysis show that its performance is better than that of MUSIC,especially in snapshot deficient scenario.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Aiming at the performance of MUSIC algorithm decreases in DOA estimation with snapshot deficient scenario,a new method based on weighted signal subspace projection is proposed.The signal-subspace with reciprocal of principle eigenvalue is weighted in this method.Then the result is added over MUSIC spatial spectrum. The high-resolution of noise subspace processing is remained,and robustness via signal subspace processing is improved in this method.Theoretical and statistical analysis show that its performance is better than that of MUSIC,especially in snapshot deficient scenario.

Key concepts: Subspace topology, Snapshot (computer storage), Signal subspace, Algorithm, Computer science, Robustness (evolution), Multiple signal classification, Eigenvalues and eigenvectors

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