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OFDM系统一种基于LMMSE信道估计的改进算法
引用本文:杨前战,杨明武,许如峰. OFDM系统一种基于LMMSE信道估计的改进算法[J]. 科学技术与工程, 2016, 16(5)
作者姓名:杨前战  杨明武  许如峰
作者单位:合肥工业大学电子科学与应用物理学院,合肥工业大学电子科学与应用物理学院,合肥工业大学电子科学与应用物理学院
摘    要:线性最小均方误差(LMMSE)是OFDM系统中常用的一种信道估计算法。LMMSE信道估计需要无线信道的统计信息,在实际应用中很难实现。针对上述问题,本文提出了一种利用滑动窗口法改进的LMMSE算法。该算法利用最小平方(LS)估计结果通过滑动窗口获得计算所需的参数,与LMMSE算法相比,该算法计算相对容易,更加实用。在对估算精度要求不太高的场合,本文算法更具优势。仿真结果显示,本文算法的误码率性能接近理想条件时等价线性最小均方误差(ELMMSE)算法。

关 键 词:线性最小均方误差(LMMSE)  最大多径时延  滑动窗口法
收稿时间:2015-10-23
修稿时间:2015-10-23

An improved algorithm based on LMMSE channel estimation in OFDM system
Yang Qian-zhan,Yang Ming-wu and Xu Ru-feng. An improved algorithm based on LMMSE channel estimation in OFDM system[J]. Science Technology and Engineering, 2016, 16(5)
Authors:Yang Qian-zhan  Yang Ming-wu  Xu Ru-feng
Affiliation:School of Electronic Science and Applied Physics,Hefei University Of Technology,School of Electronic Science and Applied Physics,Hefei University Of Technology
Abstract:Linear Minimum Mean Square Error (LMMSE) is a common channel estimation algorithm in OFDM system. LMMSE channel estimation requires the statistical information of wireless channel, it is very difficult to achieve in practical application. In view of the above problems, this paper presents an improved LMMSE algorithm based on sliding window method. The algorithm uses the Least Square (LS) estimation results to obtain the required parameters by sliding window. Compared with the LMMSE algorithm, the algorithm is more practical and feasible. In the situation that the estimation accuracy is not too high, this algorithm has more advantages. Simulation results show that the performance of this algorithm is close to the Equivalent Linear Minimum Mean Square Error (ELMMSE) algorithm in ideal condition.
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