Research on Blind Beamforming Algorithm Based on Signal's Cyclostationary
Jianhong Xiang, Ning Wang, Ming Li · 2018
The blind beamforming algorithm based on the signal's cyclostationary can achieve the desired signal blind detection and recognition only by the known cycle frequency of the signal, so has been increasingly widely used in the field of signal processing. However, the estimation of the cyclic frequency of the signal is inaccurate in the actual situation, and the performance degradation of the algorithm increases with the increase of error. As for this, on the basis of the traditional blind beamforming algorithm(CAB) and the improved algorithm (F-CAB), it proposed a CAB algorithm with adaptive forgetting factor. The simulation results show that the proposed algorithm has strong robustness and adaptability to the cyclic frequency mismatch.