一种分数间隔恒模算法的宽带盲均衡器

提出了一种基于子带分解技术的分数间隔恒模算法(FSE-CMA)的宽带均衡器结构.该结构将子带分解和全频带的子卷积方法有机地结合在一起.子带分解的预白化作用能明显加快FSE-CMA的收敛速度;同时,子带分解和子卷积方法都允许对数据进行降速率的并行处理,因此能减小运算复杂度,有利于算法的实时实现.仿真实验结果验证了该结构的有效性.

A wideband blind equalizer of fractionally spaced CMA

Based on subband decomposition technique,a new structure of fractionally spaced constant modulus algorithm(FSE-CMA) equalizer was proposed for wideband wireless transmission.The proposed blind equalizer effectively combines the subband decomposition technique and sub-convolution method.The pre-whiten effect of the subband decomposition can significantly improve the convergence speed of FSE-CMA.On the other hand,since the signals are down- sampled and processed in parallel by means of both the subband decomposition and sub-convolution method,the proposed structure possesses lower computational complexity,which is beneficial to the real-time realization of FSE-CMA.Computer simulations were presented to illustrate the efficiency of the new FSE-CMA equalizer.