Coprime array adaptive beamforming with enhanced degrees-of-freedom capability

Chengwei Zhou, Zhiguo Shi, Yujie Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

40 Scopus citations

Abstract

In this paper, we propose a novel coprime array adaptive beamforming algorithm based on virtual array spatial spectrum estimation to enhance the degrees-of-freedom (DOFs) capability. Specifically, the coprime array received signals are derived to virtual domain, where the spectrum estimation is performed on an equivalent virtual uniform linear array. Since the virtual array contains more virtual sensors than physical sensors, the DOFs capability is effectively enhanced. Meanwhile, the large array aperture offered by coprime array provides a higher resolution than uniform linear array. With the estimated sources' directions and interferences' power, the coprime array adaptive beamformer is designed by reconstructing the interference-plus-noise covariance matrix and desired signal steering vector. Simulation results demonstrate the effectiveness of the proposed adaptive beamforming algorithm.

Original languageEnglish
Title of host publication2017 IEEE Radar Conference, RadarConf 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1357-1361
Number of pages5
ISBN (Electronic)9781467388238
DOIs
StatePublished - 7 Jun 2017
Externally publishedYes
Event2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States
Duration: 8 May 201712 May 2017

Publication series

Name2017 IEEE Radar Conference, RadarConf 2017

Conference

Conference2017 IEEE Radar Conference, RadarConf 2017
Country/TerritoryUnited States
CitySeattle
Period8/05/1712/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Adaptive beamforming
  • Coprime array
  • Degree-of-freedom
  • Reconstruction
  • Virtual array

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