Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System

Cooperative communication; Frequency estimation; Multipath propagation; Orthogonal frequency division multiplexing; Synchronization; Constant amplitude zero autocorrelation; Decode - and - forwards; NMSE; Non-cooperative communication systems; Orthogonal frequency division multiplexing systems; Sign...

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Main Authors: Manzoor S., Othman N.S.
Other Authors: 25825314900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-237702023-05-29T14:51:42Z Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System Manzoor S. Othman N.S. 25825314900 56426823300 Cooperative communication; Frequency estimation; Multipath propagation; Orthogonal frequency division multiplexing; Synchronization; Constant amplitude zero autocorrelation; Decode - and - forwards; NMSE; Non-cooperative communication systems; Orthogonal frequency division multiplexing systems; Signal to noise ratio estimation; Single input single output; SNR estimators; Signal to noise ratio In this paper, we present a novel signal to noise ratio (SNR) estimation technique using Constant Amplitude Zero Autocorrelation (CAZAC) time synchronization preamble in cooperative communication system. More specifically, a SNR estimation technique is proposed based on CAZAC preamble which was originally designed for time synchronization in orthogonal frequency division multiplexing (OFDM) system. Therefore, there is no extra load or throughput penalty on the system as the preamble used is already present in the system for time synchronization in OFDM systems and can be adapted for SNR estimation. In this work, we consider single-input-single-output (SISO)-OFDM cooperative with decode-and-forward (DAF) single relay and non-cooperative communication systems, when communicating over multipath channel in MATLAB�. At the receiver of the destination node in the SISO-OFDM cooperative system, the proposed SNR estimator exhibits around 0.5dB improvement over SNR estimation based on Schmidl's preamble technique. Whilst, the proposed SISO-OFDM cooperative system that invokes the proposed SNR estimator exhibits 2 dB improvements in comparison with non-cooperative system, when communicating over multipath channel. However, for transmission over AWGN channel the SISO-OFDM cooperative system that employs the proposed SNR estimator exhibits about 1 dB improvement over the non-cooperative system. � 2018 IEEE. Final 2023-05-29T06:51:42Z 2023-05-29T06:51:42Z 2018 Conference Paper 10.1109/ISTT.2018.8701719 2-s2.0-85065718486 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065718486&doi=10.1109%2fISTT.2018.8701719&partnerID=40&md5=1500f7576123ba683c04e246f6a352e7 https://irepository.uniten.edu.my/handle/123456789/23770 8701719 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Cooperative communication; Frequency estimation; Multipath propagation; Orthogonal frequency division multiplexing; Synchronization; Constant amplitude zero autocorrelation; Decode - and - forwards; NMSE; Non-cooperative communication systems; Orthogonal frequency division multiplexing systems; Signal to noise ratio estimation; Single input single output; SNR estimators; Signal to noise ratio
author2 25825314900
author_facet 25825314900
Manzoor S.
Othman N.S.
format Conference Paper
author Manzoor S.
Othman N.S.
spellingShingle Manzoor S.
Othman N.S.
Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System
author_sort Manzoor S.
title Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System
title_short Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System
title_full Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System
title_fullStr Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System
title_full_unstemmed Signal to Noise Ratio Estimation Using CAZAC Time Synchronization Preamble in Cooperative Communication System
title_sort signal to noise ratio estimation using cazac time synchronization preamble in cooperative communication system
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806426538656137216