RARE-cumulant algorithm for direction of arrival estimation and array calibration

Authors:
Xinbo Li;Yaowu Shi;Han Zhang
Affiliations:
Jilin University, Changchun, China;Jilin University, Changchun, China;Jilin University, Changchun, China
Venue:
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Year:
2008

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Abstract

In this paper, a novel efficient mutual coupling compensation algorithm for estimation of the direction of arrival (DOA) especially tailored to fourth-order cumulant is presented. With the use of special mutual coupling transform model of the uniform linear arrays and the aperture extension property of fourth-order cumulant, we take mutual coupling and virtual arrays into account simultaneously, derive the rank reduce estimator (RARE) and describe a RARE-Cumulant algorithm for both the mutual coupling matrix and DOA estimation. Calibration sources are not required. Although fourth-order cumulant is more complex than traditional second-order method, more spatial information we can get and the number of mutual coupling coefficients is not expanded with the increasing virtual arrays. Simulations show the effectiveness of the proposed technique and illustrate that the algorithm can improve the estimation resolution, and efficiently suppress Guassian color noise.