在AWGN和瑞利信道中采用DWT和FFT OFDM自适应处理图像

A. Mannan, A. Habib
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引用次数: 8

摘要

无线通信在每个人的日常生活中都扮演着非常重要的角色。随着无线技术的迅速发展,人们对高性能、大容量、高比特率的无线通信系统的需求日益增长,以应对高速数据、视频和语音信号等无线通信业务。OFDM等多载波调制方案为克服这一问题提供了有效的解决方案。本文采用LMS算法对基于小波变换的OFDM系统进行了灰度图像处理,该OFDM系统采用自适应FFT调制方式,采用AWGN和SISO环境下的瑞利信道,并与传统的自适应FFT OFDM系统进行了比较。我们在接收机重构发射信号;但基于FFT的系统的计算复杂度要高于基于DWT的系统。结果在信噪比和误码率方面进行了比较,表明基于DWT的自适应OFDM系统比传统的自适应FFT OFDM系统性能更好。
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Adaptive processing of image using DWT and FFT OFDM in AWGN and Rayleigh channel
Wireless communication has a very important role in the day to day life for everyone. The wireless technology is growing rapidly and there is a growing demand of high performance, capacity and larger bit rate wireless communication systems which cope wireless communication services such as high speed data, video and voice signals. Multicarrier modulation scheme like OFDM provides an efficient solution to overcome this problem. In this paper a gray scale image processing is done using a LMS algorithm with wavelet based OFDM system using the QPSK modulation scheme in AWGN and Rayleigh channel in SISO environment and results are compared with the conventional adaptive FFT based OFDM system. We reconstruct our transmitted signal at receiver; in both systems by minimizing the error by adaptive filter but the computational complexity of FFT based system is more as compared to DWT based system. Results are compared in term of SNR vs BER which shows that adaptive DWT based OFDM system perform better as compared to the conventional adaptive FFT OFDM system.
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