半盲算法在自适应波束形成中的应用

Application of the Semi-blind Algorithm in Adaptive Beamforming

文章介绍了半盲算法在自适应波束形成中的应用,根据半盲算法的原理,先运用基于子空间的正交投影波束形成方法确定初始权值,目的是得到次优权值,再用最小二乘恒模算法(LSC-MA)进行迭代。通过计算机对三种自适应波束形成算法的仿真对比,证明了半盲算法收敛稳定,可抑制干扰,恢复期望信号,从而也证实了该算法的可行性,有效性。

The semi-blind algorithms with their applications in adaptive beamforming are introduced in this paper. Basing on the principle of semi-blind algorithms, first we use orthogonal projections based eigenspaee beamforming methods to determine the initial value of the weight to receive the superior value, then we use the least square constant algorithm （ LSCMA） to update the weight. Through computer simulations of three kind of dadaptive beamforming algorithms, it proved that semi-blind algorithm has stable convergence, can reject the interference and lock onto the desired signals, thus the algorithm is feasible and effective.