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基于小波去噪与改进的DFT信道估计算法

张开明

科技广场Issue(2):26-29,4.
科技广场Issue(2):26-29,4.

基于小波去噪与改进的DFT信道估计算法

Channel Estimation Algorithm Based on Wavelet De-Noising and Improved DFT

张开明1

作者信息

  • 1. 江西理工大学,江西 赣州 341000
  • 折叠

摘要

Abstract

In view of the problem that traditional channel estimation algorithm based on Discrete Fourier Transform (DFT) does not eliminate the noise in the cyclic prefix length, the paper puts forward a new method of Orthogonal Frequency Division Multiplexing (OFDM) system channel estimation based on wavelet de-noising and DFT interpolation. In simulation on Matlab 2012b platform, compared with the traditional channel estimation al-gorithm based on DFT, under the conditions of the same Bit-Error-Rate (BER) or the same Mean-Square-Error (MSE) the Signal-to-Noise Rate (SNR) performance of the proposed algorithm improves a lot. The simulation re-sults show that the proposed algorithm can reduce the influence of the noise, improve the accuracy of channel esti-mation effectively, and has also have better performances than the channel estimation algorithm based on DFT.

关键词

正交频分复用/信道估计/小波去噪/离散傅里叶变换

Key words

OFDM/Channel Estimation/Wavelet De-Noising/DFT

分类

信息技术与安全科学

引用本文复制引用

张开明..基于小波去噪与改进的DFT信道估计算法[J].科技广场,2016,(2):26-29,4.

科技广场

1671-4792

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