针对正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统中最小均方误差(Minimum Mean Squared Error,MMSE)信道估计算法误码率(BER)高的问题,提出一种平均最小均方误差(Averaged-Minimum Mean Squared Error,A-MMSE)信道估计算法.该算法首先基于802.11n标准而构造了一种新的导频结构,收发两端分别进行降采样和过采样处理,利用已知训练序列和导频获得信道频域响应.仿真结果表明,所提出的A-MMSE信道估计算法与传统的MMSE算法相比,在BER为10-3时,信噪比改善了约8 dB.因而所提出的信道估计算法能明显改善系统的BER性能.
A-MMSE Channel Estimation Algorithm for OFDM Systems
An average-minimum mean squared error(A-MMSE)channel estimation algorithm is proposed to address the problem of a high bit error ratio(BER)of the minimum mean squared error(MMSE)channel estimation algorithm in orthogonal frequency division multiplexing(OFDM)systems.The proposed algorithm first constructs a new pilot structure based on the 802.11n standard.Then,downsampling and oversampling processes are performed at the receiver and transmitter,respectively.Finally,the channel frequency response is obtained using the known training sequences and pilots.The simulation results indicate that,compared with the traditional MMSE algorithm,the proposed A-MMSE channel estimation algorithm improves the signal-to-noise ratio by approximately 8 dB at a BER of 10-3.Therefore,the proposed channel estimation algorithm notably improves the BER performance of the system.
orthogonal frequency division multiplexing systemspilotminimum mean squared errorbit error ratio
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