Application of Fast Subspace ECM Algorithm in Cyclostationary Signal Estimation

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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Hauptverfasser: Sheng-Yun Hou, Shun-Hsyung Chang, Hsien-Sen Hung, Jun-Xu Chen
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Approximation algorithms
Computational complexity
Electrochemical machining
Frequency estimation
Multiple signal classification
Oceans
RF signals
Sensor arrays
Singular value decomposition
State estimation
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Zusammenfassung: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:10.1109/OCEANSAP.2006.4393946