Application of Fast Subspace ECM Algorithm in Cyclostationary Signal Estimation
In this paper, a fast subspace extended cyclic MUSIC algorithm is presented for DOA estimation of cyclostationary signals. The proposed method replaces the singular value decomposition required in the extended cyclic MUSIC algorithm with the matrix inverse-free version of the fast rational approxima...
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creator | Sheng-Yun Hou Shun-Hsyung Chang Hsien-Sen Hung Jun-Xu Chen |
description | In this paper, a fast subspace extended cyclic MUSIC algorithm is presented for DOA estimation of cyclostationary signals. The proposed method replaces the singular value decomposition required in the extended cyclic MUSIC algorithm with the matrix inverse-free version of the fast rational approximation algorithm. It has comparable resolution power, less accuracy, and lower computational complexity than the extended cyclic MUSIC algorithm. |
doi_str_mv | 10.1109/OCEANSAP.2006.4393946 |
format | Conference Proceeding |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Approximation algorithms Computational complexity Electrochemical machining Frequency estimation Multiple signal classification Oceans RF signals Sensor arrays Singular value decomposition State estimation |
title | Application of Fast Subspace ECM Algorithm in Cyclostationary Signal Estimation |
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