文件名称:BlindEqualizationBasedonGeneticAlgorithm
- 所属分类：
- 人工智能/神经网络/遗传算法
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- 上传时间：
- 2012-11-26
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- 171kb
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- 0次
- 提 供 者：
- 张*
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盲均衡技术能够仅利用接收信号的统计特性对信道特性进行均衡，克服了传统自适应均衡技术需要训练序列、降低系统有效信息传输率的缺陷，成为目前的研究热点。本文简单介绍了通信中的盲均衡技术，并针对一个简单的信道模型给出了基于遗传算法的盲均衡算法。仿真结果表明，多次迭代的盲均衡的均值能够很好地代表未知信道的性能。
-Blind equalization was an adaptive equalization technique,which could equalize the properties of the
channel just using the statistic properties of the received signal and overcome the disadvantages of conventional
adaptive equalization techniques which required a training sequence and reduce effective information rate in system
transmission.This paper reviewed the blind equalization,and built a simple single-input-multiple-output
model.A blind equalization algorithm based on genetic algorithm was proposed.The simulation results showed that the algorithm had better performances.
-Blind equalization was an adaptive equalization technique,which could equalize the properties of the
channel just using the statistic properties of the received signal and overcome the disadvantages of conventional
adaptive equalization techniques which required a training sequence and reduce effective information rate in system
transmission.This paper reviewed the blind equalization,and built a simple single-input-multiple-output
model.A blind equalization algorithm based on genetic algorithm was proposed.The simulation results showed that the algorithm had better performances.
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基于遗传算法的盲信道均衡.kdh