期刊
IEEE SIGNAL PROCESSING LETTERS
卷 26, 期 1, 页码 19-23出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2018.2878948
关键词
Bases transition; covariance matrix construction; robust adaptive beamforming; sensor position error
资金
- National Natural Science Foundation of China [11527809, 51679204, 11604259]
This letter proposes a narrowband interference-plus-noise covariance matrix (INCM) based beamformer, which is robust with sensor position errors for linear array. First, using the subspace fitting and subspace orthogonality techniques, we estimate a set of angle-related bases for the signal-plus-interference subspace (SIS) by solving a joint optimization problem. Second, we obtain the bases transition matrix between the estimated angle-related bases and the orthogonal bases consisting of the dominant eigenvectors of the sample covariance matrix (SCM). The SCM can be expressed as a function of the angle-related bases and the bases transition matrix. We construct the INCM directly from the SIS by eliminating the component of the desired signal from the angle-related bases. Simulations and experimental results show that the proposed heamformer outperforms other tested heamformers in the presence of sensor position errors.
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