Array beamforming based on cyclic signal detection

In mobile communication systems, in order to extract the desired signal while suppressing the interference and noise, array beamforming techniques are usually employed. However in most beamforming methods, a priori knowledge of the directions of arrival (DOA) or waveform of the signals of interest (SOI) is often required. In this paper, the cyclostationary property of most communication signals is exploited to develop a new method of beamforming. The DOA is estimated by a signal selective direction finding scheme, and then the optimum weights are determined according to multiple linear constraints. The effectiveness of the proposed approach is demonstrated through numerical examples.