基于幅相扰动的改进Memetic算法的波束成型算法

Beamforming algorithms by phase-amplitude perturbations based on improved Memetic algorithms

为了提高天线波束成型算法的收敛性能,基于改进的Memetic算法对幅相扰动最优权值的搜索,提出了一种新的上行MIMO-SDMA智能天线系统的波束成型算法。仿真结果表明,该算法具有很好的收敛性能和较高的效率,基于该算法的智能天线系统不仅能够对干扰方向进行自适应控零而且还能同时使最大增益主瓣与期望信号的方向一致,使系统的信噪比得到提高,很好地实现上行MIMO-SDMA。

For improving the convergence performance of antennas beamforming algorithms, this paper proposes a new MI- MO-SDMA of smart antennas beanfforming algorithm based on research of optimization vector value of phase-amplitude per- turbations by improved Memetic algorithm. Simulation results show that this algorithm has good convergence performance and convergence efficiency; the system based on the algorithm can adjustably suppress interferers by placing nulls at the di- rections of the interfering sources and provide a maximum main lobe in the direction of the desired signal at the same time ; thus, the signal to interference ratio of the system is increased, and the uplink MIMO-SDMA can be achieved.