| 摘要: |
| 提出了一种适用于OFDM系统的最小均方(LMS)滤波的信道估计算法,对发送序列中导频位置的信道响应进行LMS滤波,进一步得出所有子载波上的信道响应。仿真结果表明,该方法同基于离散傅里叶变换(DFT)的信道估计算法相比,改善了估计的均方误差(MSE)和误码率(BER)性能。 |
| 关键词: 正交频分复用,信道估计,最小均方,自适应滤波,均方误差,误码率 |
| DOI：10.3969/j.issn.1001-893X. |
| 投稿时间：2007-07-13修订日期：2007-11-16 |
| 基金项目:国家自然科学基金资助项目(60572157) |
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| Channel Estimation via the LMS Adaptive Filtering Algorithm for OFDM Systems |
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| Abstract: |
| This paper proposes a LMS filtering method for channel estimation in OFDM systems.To renew the channel state information on all sub-carriers,the estimator adoptes a LMS adaptive filtering algorithm based on DFT so as to improve the estimation accuracy.Computer simulations show that the proposed algorithm can achieve better performance than the conventional DFT algorithm in both mean square error(MSE) and bit error rate(BER) indicators. |
| Key words: OFDM,channel estimation,LMS,adaptive filtering,MSE,BER |
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