The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network

Fhis paper highlights the simulation using Cyclic Codes in order to identify the effect of two types of noise which are Additive White Gaussian Noise and Multipath Rayleigh Fading to a communication system. The main objective is to know which communication channel is better, a communication channel...

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Published in:2006 International RF and Microwave Conference, (RFM) Proceedings
Main Author: 2-s2.0-46249129728
Format: Conference paper
Language:English
Published: 2006
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249129728&doi=10.1109%2fRFM.2006.331046&partnerID=40&md5=6b79a0b740170bb031b108ecad335a29
id Idris A.B.; Fairuz Bin Rahim R.; Mohd Ali D.B.
spelling Idris A.B.; Fairuz Bin Rahim R.; Mohd Ali D.B.
2-s2.0-46249129728
The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
2006
2006 International RF and Microwave Conference, (RFM) Proceedings


10.1109/RFM.2006.331046
https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249129728&doi=10.1109%2fRFM.2006.331046&partnerID=40&md5=6b79a0b740170bb031b108ecad335a29
Fhis paper highlights the simulation using Cyclic Codes in order to identify the effect of two types of noise which are Additive White Gaussian Noise and Multipath Rayleigh Fading to a communication system. The main objective is to know which communication channel is better, a communication channel with AWGN or a communication channel with Multipath Rayleigh Fading. Modulation technique used in this simulation is Quadrature Phase Shift Keying (QPSK). Noise reduction and information message recovery are the important aspect in designing a communication system instead of speed and accuracy in transmitting the information. Matlab Version 7.1 is used to simulate the system. The model consists of transmitter, transmission channel and receiver. The messages are encoded and decoded using Cyclic Codes. The system also provides error detection and correction using Forward Error Correction (FEC). © 2006 IEEE.


English
Conference paper

author 2-s2.0-46249129728
spellingShingle 2-s2.0-46249129728
The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
author_facet 2-s2.0-46249129728
author_sort 2-s2.0-46249129728
title The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
title_short The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
title_full The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
title_fullStr The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
title_full_unstemmed The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
title_sort The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network
publishDate 2006
container_title 2006 International RF and Microwave Conference, (RFM) Proceedings
container_volume
container_issue
doi_str_mv 10.1109/RFM.2006.331046
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249129728&doi=10.1109%2fRFM.2006.331046&partnerID=40&md5=6b79a0b740170bb031b108ecad335a29
description Fhis paper highlights the simulation using Cyclic Codes in order to identify the effect of two types of noise which are Additive White Gaussian Noise and Multipath Rayleigh Fading to a communication system. The main objective is to know which communication channel is better, a communication channel with AWGN or a communication channel with Multipath Rayleigh Fading. Modulation technique used in this simulation is Quadrature Phase Shift Keying (QPSK). Noise reduction and information message recovery are the important aspect in designing a communication system instead of speed and accuracy in transmitting the information. Matlab Version 7.1 is used to simulate the system. The model consists of transmitter, transmission channel and receiver. The messages are encoded and decoded using Cyclic Codes. The system also provides error detection and correction using Forward Error Correction (FEC). © 2006 IEEE.
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language English
format Conference paper
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