Robust Adaptive Beamforming using A New Generalized Sidelobe Canceller Under Non-ideal Environment

Adaptive array beamforming is the technique which can not only extracts signals of interest from specific angles but also suppresses interferences and noise. LCMV(Linearly Constrained Minimum Variance) beamformer and GSC(Generalized Sidelobe Canceller) are the important techniques in the antenna array signal processing which need the direction of the desired signal as a priori information. The main part of this thesis is to modify GSC(Generalized Sidelobe Canceller) and then proposes the NBMGSC (Noise Block Modified Generalized Sidelobe Canceller) by combining noise block matrix and MGSC(Modified Generalized Sidelobe Canceller). This approach can not only decreases the computational complexity but also suppresses the interference to improve the system performance. We also let NBMGSC(Noise Block Modified Generalized Sidelobe Canceller) combine with the proposed robustness algorithms. It can decrease the computational complexity and improve the system performance to against the multiple non-ideal environments. For the non-ideal environments, it includes steering vector mismatch, coherent environment, mutual coupling effect and unknown mutual coupling and then we combine the above non-ideal environments and we use the proposed method to against the multiple non-ideal environments.