Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array

Jing Liu, Weidong Zhou, Defeng (David) Huang, Filbert H. Juwono

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

To solve the problem of direction-of-arrival (DOA) estimation for partly calibrated array, a new gain-phase error matrix estimation scheme and a smoothed sparse signal reconstruction method tailored for the complex-valued covariance matrix are proposed. In the proposed method, DOA estimation is achieved by employing the structure of the covariance matrix for the error matrix estimation and the complex-valued gradient matrix based fast non-convexity data reconstruction. The proposed method has much faster computational speed than other sparse DOA estimation methods with partly calibrated array. In addition, simulation results show that it performs well and is independent of the errors.

Original languageEnglish
Pages (from-to)8-12
Number of pages5
JournalAEU - International Journal of Electronics and Communications
Volume84
DOIs
Publication statusPublished - 1 Feb 2018

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