A novel algorithm to detect a QPSK signal with the minimum number of samples

In digital communication the QPSK (quadrature phase-shift keying) signal occupies a special position, from satellite systems through to Local Area Networks (LAN). The QPSK signal can be detected or received using analog or digital receivers. The detection capability of digital receivers relies ma...

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Main Authors: Mohammed, Saleh, Hilmi, Sanusi, Abubakar, Adamu, Haruna, Chiroma, Edi, Sutoyo, Mungad, Mu, Tutut, Herawan
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2015
Subjects:
Online Access:http://irep.iium.edu.my/40163/
http://irep.iium.edu.my/40163/
http://irep.iium.edu.my/40163/4/A_Novel_Algorithm_to_Detect_a_QPSK_Signal.pdf
http://irep.iium.edu.my/40163/7/40163_A_novel_algorithm_to_detect_a_QPSK_signal_SCOPUS.pdf
id iium-40163
recordtype eprints
spelling iium-401632017-09-07T03:18:53Z http://irep.iium.edu.my/40163/ A novel algorithm to detect a QPSK signal with the minimum number of samples Mohammed, Saleh Hilmi, Sanusi Abubakar, Adamu Haruna, Chiroma Edi, Sutoyo Mungad, Mu Tutut, Herawan Q350 Information theory In digital communication the QPSK (quadrature phase-shift keying) signal occupies a special position, from satellite systems through to Local Area Networks (LAN). The QPSK signal can be detected or received using analog or digital receivers. The detection capability of digital receivers relies mainly on the number of samples per signal element and signal-to-noise ratio. The number of samples required by a digital receiver is the bottleneck for detection speed. This paper presents a novel algorithm to detect a QPSK signal with the minimum number of samples, or as few as four samples per symbol. The algorithm relies only on the samples’ polarities, which leads to superior immunity to amplitude noise. The algorithm was simulated and tested using ANSI C++. The results showed that the algorithm is capable of detecting a QPSK signal with minimum Bit Error Rate (BER) at signal-to-noise ratio of 7.57 dB and maximum phase distortion of PI/8. Springer 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40163/4/A_Novel_Algorithm_to_Detect_a_QPSK_Signal.pdf application/pdf en http://irep.iium.edu.my/40163/7/40163_A_novel_algorithm_to_detect_a_QPSK_signal_SCOPUS.pdf Mohammed, Saleh and Hilmi, Sanusi and Abubakar, Adamu and Haruna, Chiroma and Edi, Sutoyo and Mungad, Mu and Tutut, Herawan (2015) A novel algorithm to detect a QPSK signal with the minimum number of samples. In: Fourth INNS Symposia Series on Computational Intelligence in Information Systems (INNS-CIIS 2014), 7th-9th November 2014, Institut Teknologi Brunei. http://link.springer.com/chapter/10.1007%2F978-3-319-13153-5_2
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic Q350 Information theory
spellingShingle Q350 Information theory
Mohammed, Saleh
Hilmi, Sanusi
Abubakar, Adamu
Haruna, Chiroma
Edi, Sutoyo
Mungad, Mu
Tutut, Herawan
A novel algorithm to detect a QPSK signal with the minimum number of samples
description In digital communication the QPSK (quadrature phase-shift keying) signal occupies a special position, from satellite systems through to Local Area Networks (LAN). The QPSK signal can be detected or received using analog or digital receivers. The detection capability of digital receivers relies mainly on the number of samples per signal element and signal-to-noise ratio. The number of samples required by a digital receiver is the bottleneck for detection speed. This paper presents a novel algorithm to detect a QPSK signal with the minimum number of samples, or as few as four samples per symbol. The algorithm relies only on the samples’ polarities, which leads to superior immunity to amplitude noise. The algorithm was simulated and tested using ANSI C++. The results showed that the algorithm is capable of detecting a QPSK signal with minimum Bit Error Rate (BER) at signal-to-noise ratio of 7.57 dB and maximum phase distortion of PI/8.
format Conference or Workshop Item
author Mohammed, Saleh
Hilmi, Sanusi
Abubakar, Adamu
Haruna, Chiroma
Edi, Sutoyo
Mungad, Mu
Tutut, Herawan
author_facet Mohammed, Saleh
Hilmi, Sanusi
Abubakar, Adamu
Haruna, Chiroma
Edi, Sutoyo
Mungad, Mu
Tutut, Herawan
author_sort Mohammed, Saleh
title A novel algorithm to detect a QPSK signal with the minimum number of samples
title_short A novel algorithm to detect a QPSK signal with the minimum number of samples
title_full A novel algorithm to detect a QPSK signal with the minimum number of samples
title_fullStr A novel algorithm to detect a QPSK signal with the minimum number of samples
title_full_unstemmed A novel algorithm to detect a QPSK signal with the minimum number of samples
title_sort novel algorithm to detect a qpsk signal with the minimum number of samples
publisher Springer
publishDate 2015
url http://irep.iium.edu.my/40163/
http://irep.iium.edu.my/40163/
http://irep.iium.edu.my/40163/4/A_Novel_Algorithm_to_Detect_a_QPSK_Signal.pdf
http://irep.iium.edu.my/40163/7/40163_A_novel_algorithm_to_detect_a_QPSK_signal_SCOPUS.pdf
first_indexed 2023-09-18T20:57:36Z
last_indexed 2023-09-18T20:57:36Z
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