计算机科学 ›› 2011, Vol. 38 ›› Issue (6): 74-76.

• 计算机网络与信息安全 • 上一篇    下一篇

基于小波块闭值降噪的OFDM系统信道估计算法

杨永立,刘建,朱光   

  1. (武汉科技大学信息科学与工程学院 武汉430081) (武汉国家光电实验室 武汉430074)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金项目(60802009)和“十一五”国家863计划课题项目(2008AA01Z204)等资助。

Channel Estimation Based on Block-thresholding Wavelet Denoising for System

YANG Yong-li,LIU Jian,ZHU Guang-xi   

  • Online:2018-11-16 Published:2018-11-16

摘要: 提出了基于小波块阈值降噪的OFDM信道佑计算法。该算法通过对最小二乘信道估计算法的结果进行小波块阂值降噪来提高信道估计性能。与传统信道估计算法相比,块阈值降噪算法由于利用了信道频率响应小波系数的局部相关性,在仅增加少量运算量的前提下,大大降低了信道估计的均方误差、系统的误符号率和计算复杂度,运算量仅正比于有效子载波数,且在系统CP长度小于信道多径时延扩展时算法仍然可以保持很好的性能。数值仿真结果证明了上述结论的正确性。

关键词: OFDM,信道估计,小波降噪,块阈值

Abstract: A block-thresholding wavelet denoising based channel estimation algorithm was proposed. The algorithm improved the channel estimation performance by denoising the channel frequency function estimated by Least Square Estimator using block thrcsholding wavclet denoising. Compared with the conventional algorithms, block thresholding wavelet denoising algorithm ultilized the local correlation of the wavelet coefficients, so using the proposed method the mean square error and symbol error rate can be reduced greatly, and the computation complexity is only linearly proportional to the number effective subcarricrs. hhe proposed method also poses good robustness when the CP length of the system is shorter than the delay spread of the channel. Numeric simulations show the performance improvement of the proposed algorithm to the conventional ones.

Key words: OFDM, Channel estimation, Wavelet denoising, Block thresholding

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