Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection

Liqing SHAN  Shexiang MA  Xin MENG  Long ZHOU  

IEICE TRANSACTIONS on Communications   Vol.E102-B   No.5   pp.1055-1060
Publication Date: 2019/05/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018EBP3210
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
automatic identification system,  partial overlapping,  blind beamforming,  generalized singular value decomposition,  orthogonal projection,  

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In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.