Beamforming Based on Multi-Kernel Support Vector Machine

The performance of beamforming based on support vector machine is affected by many parameters of support vector machine. The selection method of parameters is limited. So there is no general method at present. In this paper, a beamforming algorithm based on multi-kernel support vector machine is proposed. Firstly, multi-kernel support vector machines are constructed by combining multiple kernel functions, and then the multi-kernel support vector machines are applied to the beamforming problem. The algorithm can avoid the problems of complex parameter selection and large amount of computation in support vector machine. The simulation results show that the algorithm has good performance.