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A Novel Technique for Transmission of M-Ary Signal through Wireless Fading Channel Using Wavelet Denoising

机译:小波降噪通过无线衰落信道传输M-Ary信号的新技术

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The paper proposes a novel technique for reducing noise in M-ary signal transmission through wireless fading channel using wavelet denoising that play the key role. The paper also explains that the conventional threshold-based technique is not capable of denoising M-ary quadrature amplitude modulated (M-QAM) signals having multilevel wavelet coefficients through wireless fading channels. A detailed step by step wavelet decomposition and reconstruction processes are discussed here to transform a signal function into wavelet coefficients using simulation software like MATLAB. A 16-QAM modulated symbol through a Rician fading channel is weighted by a control variable of complex form to force the mean of each detail coefficient except low frequency component to zero to enhance noiseless property. The bit error rate (BER) performance of the simulation results are furnished to show the effectiveness of the proposed technique. The root mean square of the deviation of the reconstruct signal from the original signal is used to express the effectiveness of the proposed technique. The traditional denoising provides very high value (above 90%) of the percentage root mean square difference (PDR) and the proposed technique provides only 10% PDR value for the symbol through a noisy channel. The result of the simulation study reveals that the BER performance can be increased using an appropriate control variable to force the mean of each detail coefficient to zero.
机译:提出了一种新的技术,该技术利用小波降噪来降低无线衰落信道在Mary信号传输中的噪声,该技术起着关键作用。本文还解释了传统的基于阈值的技术无法通过无线衰落信道对具有多级小波系数的M元正交幅度调制(M-QAM)信号进行降噪。在此讨论详细的逐步小波分解和重构过程,以便使用MATLAB之类的仿真软件将信号函数转换为小波系数。通过Rician衰落信道的16-QAM调制符号由复数形式的控制变量加权,以迫使除低频分量之外的每个细节系数的平均值为零,以增强无噪声特性。仿真结果提供了误码率(BER)性能,以证明所提出技术的有效性。重建信号与原始信号的偏差的均方根用于表示所提出技术的有效性。传统的去噪提供了很高的百分比均方根差(PDR)值(超过90%),并且所提出的技术仅通过噪声通道为符号提供了10%的PDR值。仿真研究的结果表明,使用适当的控制变量将每个详细系数的平均值设为零,可以提高BER性能。

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