基于神经网络的盲波束形成方法研究

Study of a Blind Beamforming Method Based on RBFNN

提出了一种基于径向基函数网络(RBFNN)的盲波束形成方法。该方法首先在不知道任何基阵方向向量先验知识的情况下,利用信号的多普勒信息估计波束形成的权矢量。然后引入径向基函数网络逼近估计的波束形成权矢量,从而实现盲波束形成。利用神经网络的并行结构,不但有效地提高了运行速度,而且对系统误差具有很强的鲁棒性。仿真实验验证了算法的正确性。

In this paper a blind beamforming algorithm based on radial basis function neural network (RBFNN) is presented according to the array signal. The weight vector of beamforming is estimated by Doppler information of the signal first, then it is approximated by RBFNN to carry out the blind optimizing beamforming. This method not only can make the computation rapid but also is robust to system error because of the structural advantage that neural network can operate in parallel.The simulation experiment verifies the correctness of this algorithm. 