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...
Published in: | 2006 International RF and Microwave Conference, (RFM) Proceedings |
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249129728&doi=10.1109%2fRFM.2006.331046&partnerID=40&md5=6b79a0b740170bb031b108ecad335a29 |
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Idris A.B.; Fairuz Bin Rahim R.; Mohd Ali D.B. |
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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 |
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2006 International RF and Microwave Conference, (RFM) Proceedings |
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doi_str_mv |
10.1109/RFM.2006.331046 |
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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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English |
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Conference paper |
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Scopus |
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1828987884506447872 |