BLIND BEAM-FORMING BASED ON SECOND-ORDER STATISTICS
基于二阶统计量的盲波束形成方法

In order to recover the statistically independent source signals, the paper proposes a novel blind beam-forming approach based on two-order statistics. In this method, the source signals are extracted by the statistic properties of the zero cross-correlation between any two source signals, under the case of unknown array manifold. The approach can be applied to the array beamforming with arbitrary array manifold and error. The method requires that the noise is white and the source signals are colored or deterministic, and not requires the estimation of arrival-direction of signals. In extracting source signals, it will make SNR be largest. On the contrary to the blind beamforming based on higher-order statistics, it is simple and robust, and can extensively be applied to the blind separation of mobile communication signals.