A Novel Robust Cyclic Adaptive Beamforming Algorithm
Dan Lu, Renbiao Wu, Zhigang Su, Qing Feng · 2006
Cyclic adaptive beamforming (CAB) algorithm becomes an efficient blind beamforming algorithm due to its low computation complexity and fast convergence rate. However, the robustness of CAB is not enough. To overcome the shortcomings, a novel robust CAB algorithm is presented. The new algorithm is based on a combination of the ideas in the CAB algorithm and the robust capon beamforming (RCB). It still belongs to robust CAB algorithm based on diagonal loading, but the amount of diagonal loading can be calculated precisely based on the uncertainty set of steering vectors. Experiment results show the feasibility of the new algorithm