ROBUST ADAPTIVE BEAMFORMING FOR A CLASS OF GAUSSIAN STEERING VECTOR MISMATCH
Yujie Gu, Zhiguo Shi, Kang Sheng Chen, Li Chen Yu · Electromagnetic waves · 2008
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 beamformer 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.