盲均衡器研究的进展

A Review of Research on Blind Equalization and Future Developments

盲均衡是不借助于训练序列即可收敛的一种自适应均衡技术，本文回顾了盲均衡技术的发展，对Ｂａｓｓｇａｎｄ型，高阶矩型，信号检测型和非线性型等算法进行了讨论，并提出了盲均衡器的发展方向。

Blind equalization is an adaptive equalization technique without the aid of training sequences. This paper examines several forms of blind equalizers,including Bassgand, High order Cumulant based, Signal detection based and Nonlinear transformation types, it analyzes both the advantages and disadvantages of these equalizers and their relevant algorithms in sequence. Based on results of the examination and analysis, the developing orientations of the research on blind equalizers is clarified.