| 粒子滤波理论及其在盲均衡中的应用 |
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| 引用本文： | 王磊,刘郁林,李正东.粒子滤波理论及其在盲均衡中的应用[J].重庆邮电学院学报(自然科学版),2005,17(6):691-694. |
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| 作者姓名： | 王磊 刘郁林 李正东 |
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| 作者单位： | 重庆通信学院DSP实验室,重庆400035 |
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| 摘 要： | 粒子滤波器的基本思想是用加权的离散随机样本点表示所需要的后验概率密度。粒子滤波理论的盲均衡方法与其他均衡方法相比，其优点在于它不包括对当前估计的线性化，而是利用离散的随机测度来对期望分布进行近似，而且算法收敛快，所需的数据量较少。介绍了粒子滤波理论及其在盲均衡中的应用。仿真结果表明，使用粒子滤波器的盲均衡方法在信噪比较低时也能完成对信道的均衡。
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| 关 键 词： | 盲均衡 粒子滤波器 重要性采样 |
| 文章编号： | 1004-5694（2005）06-0691-04 |
| 收稿时间： | 2005-01-05 |
| 修稿时间： | 2005-09-14 |
Particle filter theory and its application in blind equalization |
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| WANG Lei, LIU Yu-lin, LI Zheng-dong.Particle filter theory and its application in blind equalization[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2005,17(6):691-694. |
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| Authors: | WANG Lei LIU Yu-lin LI Zheng-dong |
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| Institution: | DS P Lab, Chongqing Communication Institute, Chongqing , 400035 , P. R. China |
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| Abstract: | In this paper,particle filter theory and its application in blind equalization are presented.The basic idea of particle filter is the recursive computation of relevant probability distributions using discrete random measures composed of the particles and its weights.Compared with the other methods for equalization,the advantage of particle filtering is that exploited approximation doesn't involve linearization around current estimates but approximations in the representation of the desired distribution by discret random measures.The simulation shows that the algorithm is feasible even under the conditions of lower signal-to-noise ratio. |
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| Keywords: | blind equalization particle filter importance sampling |
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