Adaptive-beamforming-based multiple targets signal separation

In practical array signal processing systems, how to separate the required target signal from the received mixed signals effectively is an important research work. Firstly, for the conventional diagonal loading approaches, it is difficult to choose the DL level reliably. To solve this problem, by using the shrinkage method we present a General-Linear-Combination-Based robust adaptive beamformer (GLC) in this paper. Secondly, different from the traditional time-domain and frequency-domain separation methods, we innovatively apply the adaptive beamforming technique into the research of multiple targets signal separation in this paper, and give the specifications quantitatively to measure the separation effects: spatial separation angle and similarity coefficient. Simulation results show that compared with traditional methods, the GLC-based method has smaller spatial separation angle and greater similarity coefficient, which could separate the required target signal more accurately.