TY - JOUR
T1 - Robust adaptive beamforming for a class of Gaussian steering vector mismatch
AU - Gu, Y. J.
AU - Shi, Z. G.
AU - Chen, K. S.
AU - Li, Y.
PY - 2008
Y1 - 2008
N2 - Compared with the worst-case optimization-based approach, the probability-constrained approach is a more flexible one to robust adaptive beamforming. In this paper, a precise relationship between the two approaches is built in the case of Gaussian steering vector mismatch, which shows that the probability-constrained beam-former design can be interpreted in terms of the worst-case beamformer design. Numerical simulations demonstrate that the precise version of the probability-constrained beamformer is more robust to the steering vector mismatch than the other popular robust adaptive beamformers.
AB - Compared with the worst-case optimization-based approach, the probability-constrained approach is a more flexible one to robust adaptive beamforming. In this paper, a precise relationship between the two approaches is built in the case of Gaussian steering vector mismatch, which shows that the probability-constrained beam-former design can be interpreted in terms of the worst-case beamformer design. Numerical simulations demonstrate that the precise version of the probability-constrained beamformer is more robust to the steering vector mismatch than the other popular robust adaptive beamformers.
UR - http://www.scopus.com/inward/record.url?scp=43449111227&partnerID=8YFLogxK
U2 - 10.2528/PIER08010202
DO - 10.2528/PIER08010202
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AN - SCOPUS:43449111227
SN - 1070-4698
VL - 81
SP - 315
EP - 328
JO - Progress in Electromagnetics Research
JF - Progress in Electromagnetics Research
ER -