A MUSIC-Type DOA Estimation Method Based on Sparse Arrays for a Mixture of Circular and Non-Circular Signals

Jingjing Cai, Wei Liu, Ru Zong, Yangyang Dong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

It is well known that the presence of non-circular signals can provide extra degrees of freedom for a sensor array system, which can then be exploited for improved performance. Recently, by exploiting the non-circularity information and the difference and sum co-array concept, a new approach was developed for direction of arrival estimation in the presence of a mixture of circular and noncircular signals. In this paper, the problem is reformulated and a new algorithm is developed for direction finding under the same conditions. As shown by extensive simulation results, the so-called improved MUSIC (IMUSIC) can achieve a better performance than the existing ones.

Original languageEnglish
Title of host publicationICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172019
DOIs
Publication statusPublished - Oct 2020
Event2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020 - Macau, China
Duration: 21 Aug 202023 Aug 2020

Publication series

NameICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings

Conference

Conference2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020
Country/TerritoryChina
CityMacau
Period21/08/2023/08/20

Keywords

  • Extended covariance matrix
  • Improved MUSIC
  • Noncircular signals
  • Sparse arrays

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Computer Science Applications
  • Computer Networks and Communications

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