Adaptive fuzzy beamformer to steering vector mismatch

This paper proposed an efficient beamformer to deal with the signal steering vector mismatches. The empirical results show that the significant performance degradation occurs when the signal steering vector for the desired signal is not known exactly. Thus, we design adaptive fuzzy beamformer, which adopt the method of fuzzy systems to modify the value of signal steering vector by first-order Taylor expansion. In this situation, the beamformer design problem becomes a complicated nonlinear estimation problem. In this study, a design method based on differential evolution (DE) algorithm is proposed to treat the adaptive fuzzy beamformer design problem. Finally, the simulation confirm that the proposed scheme performance is significantly improved and preferable robustness if the effect of point error of desired signal is considered along with the use of expert knowledge enabled by the beamformer.