基于余弦代价函数的T/4分数间隔盲均衡算法

针对常模算法(CMA)对非常模高阶QAM信号均衡后收敛速度慢，稳态均方误差大的缺点，以T/4分数间隔均衡器为例，提出一种基于余弦代价函数的T/4分数间隔盲均衡算法(T/4-FSE-CCF)，该算法将常模的代价函数用构造的余弦代价函数来替代，新算法摆脱了常数模算法对统计模值R的依赖，最后对算法性能进行了理论分析和仿真实验，结果表明，该算法对高阶QAM信号不仅提高了收敛速度而且降低了稳态均方误差。

Cosine cost function based T/4 fractionally spaced blind equalization algorithm

Aiming at the slow convergence rates and the large steady-state mean square error of Constant Modulus Algorithm(CMA) for high-order QAM signal, Taking the T/4 fractionally spaced equalizer for example, a T/4 Fractionally Spaced Equalizationalgorithm based on Cosine Cost Function (T/4-FSE-CCF) was proposed. the cost function of CMA was replaced with cosine costfunction in the proposed algorithm, the new algorithm got rid of the dependence on statistical Modulus value R compared with CMA.the performance of the algorithm was analyzed by theoretical analysis and simulation, the results show that the T/4-FSE-CCF has not only the faster convergence rates but also the smaller steady-state mean square error for high-order QAM signal.