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针对数字通信单输入多输出(SIMO)系统中的信道盲均衡问题,使用优化理论中的半正定规划(SDP)方法,对采用随机梯度法求解的二阶统计量盲均衡算法(MSOSA)进行改进,给出了一种新的盲均衡求解算法SDP-MSOSA.相比采用随机梯度迭代法实现的MSOSA,SDP-MSOSA需要的数据样点更少,且收敛后的稳态误差更小,能够更加有效地消除码间干扰,仿真实验验证了算法SDP-MSOSA的有效性.
Aiming at the problem of channel blind equalization in digital communication single input multiple output (SIMO) system, the semi - positive definite programming (SDP) method in optimization theory is used to improve the second - order statistical blind equalization algorithm (MSOSA) , A new blind equalization algorithm SDP-MSOSA is proposed.Compared with MSOSA and SDP-MSOSA using stochastic gradient iterative method, SDP-MSOSA requires fewer data samples and has smaller steady-state error after convergence The intersymbol interference is effectively eliminated. The simulation results show the effectiveness of SDP-MSOSA.