| 基于最大后验估计的自适应盲均衡算法 |
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| 引用本文： | 耿天玉,舒勤,应大力.基于最大后验估计的自适应盲均衡算法[J].计算机工程与设计,2012,33(6):2314-2317,2367. |
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| 作者姓名： | 耿天玉 舒勤 应大力 |
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| 作者单位： | 四川大学 电气信息学院,四川成都,610065 |
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| 摘 要： | 为了减小最大后验概率(MAP)盲均衡算法中稳态误差和收敛速度,提出了一种改进的基于最大后验估计的盲均衡算法.运用不等概思想改进自适应σ的MAP盲均衡算法,得到了基于概率和自适应σ的MAP盲均衡算法.定量分析和仿真结果表明改进算法和MAP的盲均衡算法相比,稳态调整量的理论值更小,稳态剩余根均方误差值小于MAP盲均衡算法,收敛速度快于MAP盲均衡算法.
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| 关 键 词： | 盲均衡 最大后验 自适应算法 剩余根均方误差 随机梯度 |
MAP-based adaptive blind equalization algorithm |
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| GENG Tian-yu
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SHU Qin
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YING DA-Li.MAP-based adaptive blind equalization algorithm[J].Computer Engineering and Design,2012,33(6):2314-2317,2367. |
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| Authors: | GENG Tian-yu SHU Qin YING DA-Li |
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| Affiliation: | (School of Electrical Engineering and Informantion,Sichuan University,Chengdu 610065,China) |
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| Abstract: | To reduce the residual root mean square error(RMSE) and convergence speed in maximum a posteriori(MAP),an improved blind equalization algorithm based on MAP estimation is presented.The idea of unequal probability is used to improve MAP algorithm with adaptive σ.Quantitative analysis and simulation result shows that improved algorithms have smaller theoretical value of steady-state adjustment and residual RMSE,faster convergence speed. |
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| Keywords: | blind equalization MAP adaptive algorithm residual RMSE stochastic gradient |
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