摘要
本文对基于最大后验概率密度函数（ｐ．ｄ．ｆ）的盲均衡技术作了研究，提出了一种实用的软判决引导的盲均衡算法，该算法能够得到快速的收敛速度和小的剩余码间串扰（ＩＳＩ）；并提出了使用软判引导算法的盲判决反馈均衡器（ＤＦＥ），其性能明显优于线性均衡器（ＬＥ）；最后，保证新算法可靠地收敛，给出了卷积噪声方差的近似迭代算法．模拟结果证明了提出的均衡技术对各种信道和ＱＡＭ信号的有效性．
In this paper, blind equalication techniques based on maximizing the aposteriori probability density function (p. d. f) are investigated and a novel soft Decision directed is proposed. The new algorithm can achieve the faste convergence speed and smaller residual ISI. The blind decision feedback equalizer(DFE) using soft DD algorithm is also presented,its performance is superior to that of linear equalizer (LE). Finally,in order to guarantee the covergence of the new algorithm,the approximate iterative algorithm for the variance of the convolutional noise is proposed. Simulation results confirm the effectiveness of the proposed techniques on various channels and QAM signals.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1997年第7期105-106,共2页
Acta Electronica Sinica
基金
国家自然科学基金
关键词
盲均衡算法
卷积噪声
软判决引导
信道均衡
Blind equalization,Soft Decision-directed, A-posteriori probability density function (p. d. f),Convolutional noise
