摘要
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.
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 reabtime realization of FSE-CMA. Computer simulations were presented to illustrate the efficiency of the new FSE-CMA equalizer.
基金
国防重点实验室基金项目(200906ZD04)资助
关键词
宽带无线通信
盲均衡
分数间隔恒模算法
子带分解技术
wideband wireless communications
blind equalization
fractionally spaced constant modulus algorithm
subband decomposition technique
