零陷优化的稳健波束形成算法

传统的自适应波束形成算法在干扰方向出现扰动且期望信号导向矢量失配时，不仅无法持续有效地抑制干扰，而且会在期望信号方向产生零陷致使期望信号相消，算法性能严重下降。针对该问题，本文提出了一种零陷优化的稳健波束形成算法。该算法首先通过干扰导向矢量的左右旋转来展宽零陷，接着将采样数据向干扰子空间投影，并对干扰分量进行加权处理以增强采样数据中的干扰强度，加深干扰零陷，最后采用导向矢量不确定集约束算法保证期望信号的接收增益。计算机仿真结果表明:该算法能够有效展宽干扰零陷，并能够保证期望信号增益，具有较好的稳健性。 

Robust beamforming algorithm based on nulls optimization

When directions of the interferences fluctuate and the desired signal steering vector mismatches, the conventional adaptive beamforming algorithms cannot effectively suppress the interferences continually, and it will cause null in the direction of the desired signal. In these cases, the performances of the conventional algorithms degrade severely. To solve this problem, a robust beamforming algorithm based on nulls optimization is proposed in this paper. In the proposed algorithm, the nulls of the interferences are firstly broaden by the rotation of the steering vector. Moreover, the sampled data is projected into the interference subspace. Then the interference component is weighted to enhance the powers so that the interference nulls are deepened. Finally, the uncertainty set constraint algorithm of the steering vector is applied to guarantee the gain of the desired signal. The computer simulation results show that the proposed algorithm can broaden the interference nulls effectively as well as guarantee the gain of the desired signal.