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2010•Journal of Chongqing University of Posts and TelecommunicationsRequires access

A novel conjugate MUSIC algorithm for real signals

Gexiang Zhang

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Abstract

By using the features of real signals to improve direction of arrival(DOA)performance,a novel conjugate multiple signal classification(CMUSIC)algorithm for real signals was presented.In this algorithm,first the received array data matrix was concatenated with their conjugate component.And then,the uniform delay relation of the new data matrix was used to reconstruct.Finally,the signal-subspace was obtained by using singular value decomposition.CMUSIC is able to handle more sources than sensors and estimate the coherent signal source' DOA,having better angular precision than MUSIC and spatial smoothing algorithm.Simulation results verify the effectiveness of the proposed algorithm.

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What this paper is about

By using the features of real signals to improve direction of arrival(DOA)performance,a novel conjugate multiple signal classification(CMUSIC)algorithm for real signals was presented.In this algorithm,first the received array data matrix was concatenated with their conjugate component.And then,the uniform delay relation of the new data matrix was used to reconstruct.Finally,the signal-subspace was obtained by using singular value decomposition.CMUSIC is able to handle more sources than sensors and estimate the coherent signal source' DOA,having better angular precision than MUSIC and spatial smoothing algorithm.Simulation results verify the effectiveness of the proposed algorithm.

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Available abstract

By using the features of real signals to improve direction of arrival(DOA)performance,a novel conjugate multiple signal classification(CMUSIC)algorithm for real signals was presented.In this algorithm,first the received array data matrix was concatenated with their conjugate component.And then,the uniform delay relation of the new data matrix was used to reconstruct.Finally,the signal-subspace was obtained by using singular value decomposition.CMUSIC is able to handle more sources than sensors and estimate the coherent signal source' DOA,having better angular precision than MUSIC and spatial smoothing algorithm.Simulation results verify the effectiveness of the proposed algorithm.

Key concepts: Algorithm, Smoothing, Computer science, Singular value decomposition, SIGNAL (programming language), Signal subspace, Direction of arrival, Conjugate

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