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  • Research Article
  • Open Access

Generalized Wideband Cyclic MUSIC

EURASIP Journal on Advances in Signal Processing20092009:539727

https://doi.org/10.1155/2009/539727

  • Received: 7 March 2009
  • Accepted: 12 August 2009
  • Published:

Abstract

The method of Spectral Correlation-Signal Subspace Fitting (SC-SSF) fails to separate wideband cyclostationary signals with coherent second-order cyclic statistics (SOCS). Averaged Cyclic MUSIC (ACM) method made up for the drawback to some degree via temporally averaging the cyclic cross-correlation of the array output. This paper interprets ACM from another perspective and proposes a new DOA estimation method by generalizing ACM for wideband cyclostationary signals. The proposed method successfully makes up for the aforementioned drawback of SC-SSF and obtains a more satisfying performance than ACM. It is also demonstrated that ACM is a simplified form of the proposed method when only a single spectral frequency is exploited, and the integration of the frequencies within the signal bandwidth helps the new method to outperform ACM.

Keywords

  • Information Technology
  • Estimation Method
  • Quantum Information
  • Cyclic Statistic
  • Full Article

Publisher note

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Authors’ Affiliations

(1)
Department of Electronic Science and Engineering, National University of Defense Technology of China, Changsha, Hunan, 410073, China

Copyright

© Zhang-Meng Liu et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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