首页> 外文会议>Artificial Intelligence, 2009. JCAI '09 >A New Channel Estimation Method Based on Pilot-aided and Local Adaptive Least Squares Support Vector Regression in Software Radio OFDM System
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A New Channel Estimation Method Based on Pilot-aided and Local Adaptive Least Squares Support Vector Regression in Software Radio OFDM System

机译:基于无线电辅助和局部自适应最小二乘支持向量回归的软件无线电OFDM系统信道估计新方法

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In order to increase the transmission efficiency of OFDM system, considering the special structure of software radio OFDM system, this paper present a local adaptive least squares support vector regression (LS_SVM) formulation specifically adapted to a pilots-based OFDM signal,and proposes a new method for channel estimation with pilot assisted symbol modulation expectation. The simulation result shows that the new method can reduce the complexity and iteration times, and it has also still lower BER compared to traditional method.
机译:为了提高OFDM系统的传输效率,考虑到软件无线电OFDM系统的特殊结构,本文提出了一种特别适用于基于导频的OFDM信号的局部自适应最小二乘支持向量回归(LS_SVM)公式,并提出了一种新的方法。具有导频辅助符号调制期望的信道估计的方法。仿真结果表明,该新方法可以降低复杂度和迭代次数,并且比传统方法具有更低的误码率。

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