基于相邻信号点的自适应变模盲均衡算法

Adaptive Varying Modulus Blind Equalization Algorithm Based on Adjacent Signal

针对基于星座图划分的正交幅度调制盲均衡算法迭代初期误判率较高的缺点,在分析正交幅度调制信号自适应变模盲均衡算法的基础上,提出了一种改进的自适应变模算法。该算法在对每个星座点都均衡的同时,还将相邻星座点的影响考虑在内,并采用新的加权因子选取方法动态控制相邻星座点的权重比例,使得算法的误判率降低,从而具有更快的收敛速度。不同的水声信道仿真实验进一步验证了该算法在收敛速度上的优越性。

According to the drawback of high misadjustment at the prime of quadrature amplitude modulation(QAM)blind equalization based on constellation division,a modified adaptive varying modulus algorithm was put forward based on the analysis of adaptive varying modulus equalization algorithm. By equalising every constellation point,the new algorithm can take adjoining constellation point into account. In order to control the weight ratio of the two error functions dynamically,a new way is used to select weight factor. This algorithm can reduce the misadjustment and achieve a faster convergence rate. Different underwater acoustic channels simulation results prove the the superiority of the algorithm on the convergence rate.