稳健的相干干扰抑制算法

针对自适应波束形成在干扰位置扰动以及存在相干干扰时的性能下降问题，提出了一种稳健的相干干扰抑制算法。该算法首先估计出相干干扰的来波方向，然后以期望方向增益最大，旁瓣方向增益最小为条件建立波束权矢量求解的优化问题，并利用干扰零陷展宽方向增益的二范数小于控制系数作为约束条件来克服干扰扰动。与已有的自适应算法相比，本文所提方法求解权矢量不需要采样数据协方差矩阵求逆过程，对快拍数要求低，能有效控制零限宽度和深度，对转发式相干干扰和干扰平台抖动具有良好的抗干扰效果。仿真结果证明了所提方法的有效性和稳健性 

Robust Algorithm to Suppress coherent jamming

Since the adaptive beamformers suffer from the output performance degradation when the position of the jamming moves or the jamming is coherent to the desired signal, a robust technique to suppress coherent jamming is proposed. The algorithm first uses the direction-of-arrival (DOA) estimation method to get the jamming’s DOAs and then to overcome the jamming disturbance, it sets the constraint that 2-norm of the jamming and its adjacent direction’s gain is less than the control factor, next this constraint was used together with the maximization of expected-direction gain and the minimization of the sidelobe gain to formulate an optimization problem of solving the weight vector. Compared with the exist adaptive method, the proposed method doesn’t need the Sampling Matrix Inversion (SMI) step, it can work on small snapshots and effectively control the null width and depth. The new algorithm has the better performance in the coherent jamming and the jamming platform disturbance. The simulation results demonstrate the effectiveness and robustness of the proposed algorithm.