修正恒模算法分数间隔盲均衡

分数间隔均衡(FSE)能够降低对时间同步误差的敏感性,本文通过修正恒模算法(CMA)的误差函数,提出了一种分数间隔盲均衡修正恒模算法(MCMA).利用通信信号8PSK,对修正恒模算法和传统恒模算法进行了盲均衡性能比较,在噪声环境下的频率选择性信道中,MCMA比CMA具有更强的鲁棒性.模拟结果显示MCMA能够通过提高收敛速率、降低稳态均方误差和符号间干扰(ISI),有效地改进了信道均衡性能.

Blind Fractionally Spaced Equalization via Modified Constant Modulus Algorithm

Fractionally spaced equalization (FSE) can reduce sensitivity to timing synchronization errors.The constant modulus algorithm (CMA) for FSE can be improved by modifying its error function and a modified constant modulus algorithm (MCMA) for blind fractionally spaced equalization is proposed.The MCMA is compared with the conventional constant modulus algorithm (CMA) for FSE for 8PSK signals.It is shown that the MCMA is superior and more robust in noise environments under freqency selective channels.Simulation results demonstrate the MCMA can effectively improve channel equlizations by increasing convergence rate and decreasing steady-state mean square error and intersymbol interference (ISI).