一种基于切换步长的加权多模盲均衡算法

A weighted multimodulus blind equalization algorithm based on switching step

研究了常数模算法、多模算法、加权多模算法,并分析了各个算法的优缺点。针对加权多模盲均衡算法稳态误差小,但收敛速度慢的缺点,提出了一种基于切换步长的加权多模算法,最后对各算法在复信道环境下进行了仿真。结果表明,改进算法不受相位偏移的影响,而且在稳态误差基本不变的情况下,加快收敛速度。

The constant modulus algorithm （CMA）, multi-mode algorithm （MMA） and weighted multimodulus algorithm （WMMA） are studied, and the merits and demerits of each algorithm are also analyzed. Though the steady-state error of weighted multimodulus algorithm is small, the rate of convergence is slow, for the reason, an improved weighted muhimodulus algorithm based on switching step is proposed. Each of the algorithms is simulated in multi-channel environments. The results show that the improved algorithm is not influenced by the phase shift, and in the case of the steady-state error is essentially the same, the convergence speed can greatly accelerate.