The Verification Method for Robust Adaptive Beamforming Based on the Real-Life Data

The robust adaptive beamformers have the ability against various non-ideal factors, such as covariance matrix mismatch, the steering vector mismatch, look direction mismatch, and so on. In order to verily these robust beamformers, various simulation experiments have been designed elaborately. Based on the analysis of the array signal model and the practical cases, it can be found that the clutter components have been ignored in array signal model. This result that the output SINR is no longer appropriate for evaluating the performance of robust adaptive beamformers in engineering applications. Although these simulation experiments have some extent convincingness, it is worth thinking how to evaluate their performance in engineering applications. In this paper, a verification method for robust adaptive beamforming based on the real-life data is proposed, which includes three parts, ie. channel clutter suppression, robust adaptive beamforming, and output SNR estimation based on coherent integration. Finally, the numerical results have shown the effectiveness of the proposed method.