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

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Author(s)

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Detail(s)

Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISBN (print)9781728123455
Publication statusPublished - Dec 2019

Publication series

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

Conference

Title2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP 2019)
PlaceChina
CityChongqing
Period11 - 13 December 2019

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.

Research Area(s)

  • Array signal processing, DOA, SVD, Unitary matrix

Citation Format(s)

Accurate DOA Estimation Based on Real-Valued Singular Value Decomposition. / Cao, Hui; Liu, Qi.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers, Inc., 2019. 9172819 (ICSIDP - IEEE International Conference on Signal, Information and Data Processing).

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