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  • Research Article
  • Open Access

On Improvements of Cyclic MUSIC

EURASIP Journal on Advances in Signal Processing20052005:760297

https://doi.org/10.1155/ASP.2005.61

  • Received: 20 December 2003
  • Published:

Abstract

Many man-made signals encountered in communications exhibit cyclostationarity. By exploiting cyclostationarity, cyclic MUSIC has been shown to be able to separate signals with different cycle frequencies, thus, to be able to perform signal selective direction of-arrival (DOA) estimation. However, as will be shown in this paper, the DOA estimation of cyclic MUSIC is actually biased. We show in this paper that by properly choosing the frequency for evaluating the steering vector, the bias of DOA estimation can be substantially reduced and the performance can be improved. Furthermore, we propose another algorithm exploiting cyclic conjugate correlation to further improve the performance of DOA estimation. Simulation results show the effectiveness of both of our methods.

Keywords and phrases

  • direction-of-arrival estimation
  • uniform linear array
  • cyclic MUSIC
  • cyclostationarity

Authors’ Affiliations

(1)
Department of Electrical and Computer Engineering and Computer Science (ECECS), University of Cincinnati, Cincinnati, OH 45221-0030, USA

Copyright

© Yan and Fan 2005

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