NDLI: Mutual coupling self-calibration algorithm for uniform linear array based on ESPRIT

Content Provider	IEEE Xplore Digital Library
Author	Hong-Bing Li Yi-Duo Guo Jian Gong Jun Jiang
Copyright Year	2012
Description	Author affiliation: Radar Engineering Department, Missile Institute, Air Force Engineering University, Sanyuan, Shaan Xi, P.R. China (Hong-Bing Li; Yi-Duo Guo; Jian Gong; Jun Jiang)
Abstract	By exploiting the banded symmetric and Toeplitz matrix model for the mutual coupling of uniformly linear array (ULA), an efficient self-calibration algorithm based on estimation of signal parameter via rotational invariance techniques (ESPRIT) is proposed. The DOA and mutual coupling parameters can be decoupled by a smart choosing of subarrays for ESPRIT method, and favorable DOA estimation can be provided without the knowledge of the sensor mutual coupling matrix. Based on the estimated DOAs, an accurate estimation of mutual coupling matrix (MCM) can also be achieved for the self-calibration of ULA. The DOA estimation and mutual coupling estimation could be completed without any angle-searching and iterative procedure, so its computational burden is low. The correction and efficiency of the proposed algorithm are verified by the computer simulation results.
Starting Page	3323
Ending Page	3326
File Size	352809
Page Count	4
File Format	PDF
ISBN	9781457714146
e-ISBN	9781457714153
DOI	10.1109/CECNet.2012.6201817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Manifolds DOA estimation Mutual coupling Symmetric matrices Estimation Self-calibration Calibration Arrays Direction of arrival estimation ESPRIT
Content Type	Text
Resource Type	Article

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