TY - JOUR
T1 - Adaptive beamforming with sensor position errors using covariance matrix construction based on subspace bases transition
AU - Chen, Peng
AU - Yang, Yixin
AU - Wang, Yong
AU - Ma, Yuanliang
N1 - Publisher Copyright:
© 1994-2012 IEEE.
PY - 2019/1
Y1 - 2019/1
N2 - 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 beamformer outperforms other tested beamformers in the presence of sensor position errors.
AB - 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 beamformer outperforms other tested beamformers in the presence of sensor position errors.
KW - Bases transition
KW - covariance matrix construction
KW - robust adaptive beamforming
KW - sensor position error
UR - http://www.scopus.com/inward/record.url?scp=85055876590&partnerID=8YFLogxK
U2 - 10.1109/LSP.2018.2878948
DO - 10.1109/LSP.2018.2878948
M3 - 文章
AN - SCOPUS:85055876590
SN - 1070-9908
VL - 26
SP - 19
EP - 23
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 1
M1 - 8516386
ER -