A variable step-size proportionate affine projection algorithm for identification of sparse impulse response

  • Authors:
  • Ligang Liu;Masahiro Fukumoto;Sachio Saiki;Shiyong Zhang

  • Affiliations:
  • Department of Information Systems Engineering, Kochi University of Technology, Kochi, Japan and School of Computer Science, Fudan University, Shanghai, China;Department of Information Systems Engineering, Kochi University of Technology, Kochi, Japan;Department of Information Systems Engineering, Kochi University of Technology, Kochi, Japan;School of Computer Science, Fudan University, Shanghai, China

  • Venue:
  • EURASIP Journal on Advances in Signal Processing
  • Year:
  • 2009

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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.