文章摘要
丁青锋,郑国莘,杨柳.基于LS-SVM预测的隧道多径环境OFDM系统信道估计算法[J].高技术通讯(中文),2013,23(9):888~893
基于LS-SVM预测的隧道多径环境OFDM系统信道估计算法
A novel LS SVM based channel estimation algorithm for OFDM systemsin tunnel multi path environment
  
DOI:
中文关键词: 信道估计,最小二乘支持向量机(LS SVM),低通滤波器,线性最小均方误差(LMMSE),低秩
英文关键词: channel estimation,least square support vector machine(LS SVM),low pass filter,linear minimum mean square error(LMMSE),low rank
基金项目:
作者单位
丁青锋 上海大学特种光纤与光接入网重点实验室;华东交通大学电气与电子工程学院 
郑国莘 上海大学特种光纤与光接入网重点实验室 
杨柳 上海大学特种光纤与光接入网重点实验室 
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中文摘要:
      针对隧道环境下多径传播的特点,提出了一种用于正交频分复用(OFDM)系统的基于最小二乘支持向量机(LS SVM)预测的新型信道估计算法,该算法利用子空间思想将信道特性中的噪声分量分离开来并通过低通滤波器滤除。仿真结果表明该算法估计性能优于传统线性最小均方误差(LMMSE)估计算法:一方面在利用较少导频信号的情况下通过LS SVM预测获得整个信道的频率特性,提高了系统传输效率;另一方面通过滤除噪声改善了因信道估计值中噪声分量带来的误码率(BER)。
英文摘要:
      A novel channel estimation algorithm for orthogonal frequency division multiplexing(OFDM)systems based on least square support vector machine(LS SVM)is presented according to the multi path propagation characteristics of the systems in tunnel environments.The algorithm separates the noise components from the information component of the channel characteristics by using the subspace theory and then utilizes a low pass filter to filter them off.The simulation results show that the estimation performance of the algorithm is significantly superior to the traditional linear minimum mean square error(LMMSE)estimation algorithm.On the one hand,the transmission efficiency of OFDM system is increase by utilizing LS SVM to predict the frequency characteristics of the channel;on the other hand,the bit error rate(BER)of the channel estimation value is ameliorated by filtering noise components.
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