一种基于特征空间的自适应天线旁瓣相消算法

把常规自适应天线旁瓣相消算法和特征空间技术相结合,提出了一种新的自适应天线旁瓣相消算法。该算法把常规自适应天线旁瓣相消算法的权矢量向由干扰特征矢量组成的干扰子空间投影,避免了由小特征值对应特征矢量组成的噪声子空间对权矢量的影响,与常规自适应天线旁瓣相消算法相比,该算法具有更好的干扰对消性能,其输出干扰对消比和波束方向图都能在很少的快拍下收敛。计算机仿真结果证实了这种算法的有效性。

A Eigenspace- Based Algorithm for Adaptive Antenna Sidelobe Cancellation

By combining the conventional algorithm for adaptive sidelobe cancellation and the eigenspace technique, this paper presents a novel algorithm for adaptive sidelobe cancellation. The weight vector of the novel algorithm is calculated by projecting the weight vector of the conventional algorithm into the interference subspace of the auxiliary channels' correlation matrix. The projection operation reduces the effect of the noise subspace on the weight vector. Compared to the conventional algorithm for adaptive sidelobe cancellation, the novel algorithm has a good cancellation performance and can rapidly converge. Computer simulation results show that the algorithm is effective.