OFDM comparison with FFT and DWT processing for DVB-T2 wireless channels

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Main Author: Hernán Paz-Penagos
Format: Artículo científico
Language:en
Published: Corporación Universitaria de la Costa 2018
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author Hernán Paz-Penagos
author_facet Hernán Paz-Penagos
contents OFDM comparison with FFT and DWT processing for DVB-T2 wireless channels Hernán Paz-Penagos Ingeniería fading AWGN noise DWT and FFT Wireless channel broadband communications ¿Introduction− Recent studies on the FFT processing (Fast Fourier Transform) or DWT (Discrete Wavelet Transform) of the OFDM signal (Orthogonal Frequency Division Multiplexing) have shown pros and cons for DVB-T2 (Digital Video Broadcasting-Second Generation Terrestrial) radio communications; however, the benefits of both types of processing have yet to be compared for the same scenario. Objective− The objective of this research is to compare the response of the wireless channel with AWGN noise (Additive White Gaussian Noise Channel) and Rayleigh and Rician fading in the UHF (Ultra High Frequency) band Methodology− The transmission of DVB-T2 information with OFDM modulation and FFT and DWT processing was simulated in Matlab®, specifically in Simulink. Results− The results of the study proved to be more efficient for DWT system than FFT system, due to the low rate of erroneous bits, spectral efficiency and reduction of the Peak-to-Average Power Ratio (PAPR), for Eb / No relations greater than 10dB. Conclusions− In this article, we present the designs of both systems and the results of the research experience; likewise, the practical applicability of these systems is discussed, and improvements are suggested for future work. 2018 artículo científico 0122-6517 https://www.redalyc.org/articulo.oa?id=497779332009 en http://www.redalyc.org/revista.oa?id=4977 INGE CUC application/pdf Corporación Universitaria de la Costa INGE CUC (Colombia) Num.2 Vol.14
format Artículo científico
id redalyc_497779332009
institution Redalyc
language en
publishDate 2018
publisher Corporación Universitaria de la Costa
spellingShingle OFDM comparison with FFT and DWT processing for DVB-T2 wireless channels
Hernán Paz-Penagos
Ingeniería
fading
AWGN noise
DWT and FFT
Wireless channel
broadband communications
OFDM comparison with FFT and DWT processing for DVB-T2 wireless channels Hernán Paz-Penagos Ingeniería fading AWGN noise DWT and FFT Wireless channel broadband communications ¿Introduction− Recent studies on the FFT processing (Fast Fourier Transform) or DWT (Discrete Wavelet Transform) of the OFDM signal (Orthogonal Frequency Division Multiplexing) have shown pros and cons for DVB-T2 (Digital Video Broadcasting-Second Generation Terrestrial) radio communications; however, the benefits of both types of processing have yet to be compared for the same scenario. Objective− The objective of this research is to compare the response of the wireless channel with AWGN noise (Additive White Gaussian Noise Channel) and Rayleigh and Rician fading in the UHF (Ultra High Frequency) band Methodology− The transmission of DVB-T2 information with OFDM modulation and FFT and DWT processing was simulated in Matlab®, specifically in Simulink. Results− The results of the study proved to be more efficient for DWT system than FFT system, due to the low rate of erroneous bits, spectral efficiency and reduction of the Peak-to-Average Power Ratio (PAPR), for Eb / No relations greater than 10dB. Conclusions− In this article, we present the designs of both systems and the results of the research experience; likewise, the practical applicability of these systems is discussed, and improvements are suggested for future work. 2018 artículo científico 0122-6517 https://www.redalyc.org/articulo.oa?id=497779332009 en http://www.redalyc.org/revista.oa?id=4977 INGE CUC application/pdf Corporación Universitaria de la Costa INGE CUC (Colombia) Num.2 Vol.14
title OFDM comparison with FFT and DWT processing for DVB-T2 wireless channels
topic Ingeniería
fading
AWGN noise
DWT and FFT
Wireless channel
broadband communications
url https://www.redalyc.org/articulo.oa?id=497779332009