一种基于相干波束形成的零陷加宽算法

A novel null broadening algorithm based on coherent interference beamforming

针对干扰信号和期望信号相干导致"干扰欠相消"以及由于干扰扰动而无法去除的问题,提出了一种基于前后向空间平滑的零陷加宽算法。该算法首先通过前后空间平滑方法去相干,并利用最佳下降的递推方法求得最优权矢量。再将此权矢量作为一个"标准"的输出权值,利用二次约束的方法加宽方向图的零陷范围。通过理论分析和实验仿真验证了算法的正确性和有效性。

Considering that the coherent interference signal leads to ＂less interference elimination＂ and the interference can not be removed due to interference disturbance, this paper proposed a novel null broadening algorithm based on the forward/backward spatial smoothing technique. Firstly,this algorithm de-correlates the coherent signals through the forward/backward spatial smoothing technique, then recursive method of steepest descent is used to get the optimal weight vector. Finally, the weight vector is as a ＂standard＂ output weight vector and quadratic beam pattern constrains is used to widen the range of null. Through theoretical analysis and experimental simulations verify the correctness and effectiveness of the algorithm.