Robust LCSS Beamformer against DOA Mismatch
Conference proceedings article
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Strategic Research Themes
Publication Details
Author list: Suleesathira R.
Publisher: Hindawi
Publication year: 2020
ISBN: 9781450377591
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
To cancel interference signals that have fluctuated orientation of directions, the LCSS (Linear Constrained Sector Suppressed) approach is a null broadening beamforming based on the correlation matrix of the steering vectors on the predefined sector of direction fluctuation. However, the LCSS beamformer is still sensitive to mismatch between the presumed and actual desired signal direction. In this paper, a robust LCSS (RLCSS) beamformer is presented not only to remedy the mismatch situation but also to support the case of small size of snapshot samples available in any input SNR values. It requires a constraint matrix and a gain vector to create the LCSS beamformer. To make LCSS beamformer robust against the DOA mismatch, an algorithm to construct the constraint matrix and the gain vector is proposed. The RLCSS algorithm exploits the presumed direction and its region in order to create the constraint matrix. For the gain vector, the steering vector in the created constraint matrix that is correlated to the received signal vector the most is selected to be used to generate the gain vector. Consequently, utilizing the modified constraint matrix and the new gain vector into the LCSS beamformer can provide the robustness against the DOA mismatch of the desired signal steering vector. Simulation results demonstrate that the RLCSS approach can enhance the LCSS beamformers when the mismatch of the DOA of the desired signal exists. © 2020 ACM.
Keywords
DOA mismatch
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