摘要
研究通过具有加性高斯白噪声的瑞利慢衰落电离层信道的恒模盲均衡技术。著名的恒模算法 (CMA)是一种重要的盲信道均衡方法。但是 ,普通恒模算法存在收敛速度慢和相位旋转等不足。采用一种修正恒模算法 (MCMA) ,该算法使修正的误差函数最小并且自适应学习率由接收序列即时调整。两种算法用 8 PSK信号进行了盲均衡比较 ,模拟结果显示修正恒模算法比普通恒模算法的收敛速度快 ,符号间干扰 (ISI)小 。
The constant modulus blind equalization technique is investigated over a slow Rayleigh fading ionospheric channels with additive white Gaussian noise. The well-known constant modulus algorithm (CMA) is a very important approach for blind channel equalization. However, the standard constant modulus algorithm has some disadvantages such as the slow speed of convergence and phase rotation. In the paper, a modified constant modulus algorithm (MCMA) is proposed. The proposed algorithm minimizes a modified error function and the learning-rate is multiplied by received sequences. Through a performance comparison for 8-PSK signal constellations,the simulation results demonstrate that the MCMA leads to faster convergence and smaller intersymbol interference (ISI) in steady-state than those obtained using the CMA. In addition, the equalizer output has neither the phase rotation nor the delay.
出处
《电波科学学报》
EI
CSCD
2003年第2期138-142,共5页
Chinese Journal of Radio Science
关键词
瑞利衰落
电离层信道
自适应盲均衡
恒模算法
CMA
修正恒模算法
MCMA
符号间干扰
ionospheric channels, blind equalization, constant modulus algorithm (CMA), modified constant modulus algorithm (MCMA), intersymbol interference (ISI)
