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Accurate DOA Estimation Based on Real-Valued Singular Value Decomposition

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, an accurate direction-of-arrival (DOA) estimator is developed based on the real-valued singular value decomposition (SVD) of covariance matrix. Unitary transform on the complex-valued covariance matrix is first applied, and then SVD performs on the resulting real-valued data matrix. The singular vector is then utilized with a weighted least squares (WLS) method to achieve DOA estimation. The performance of the proposed algorithm is compared with several state-of-the-art methods as well as the CRB. The results indicate the accuracy and effectiveness of the proposed method.
Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherIEEE
ISBN (Print)9781728123455
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP 2019) - Chongqing, China
Duration: 11 Dec 201913 Dec 2019

Publication series

NameICSIDP - IEEE International Conference on Signal, Information and Data Processing

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP 2019)
Abbreviated titleIEEE ICSIDP 2019
PlaceChina
CityChongqing
Period11/12/1913/12/19

Research Keywords

  • Array signal processing
  • DOA
  • SVD
  • Unitary matrix

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