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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	7132/40163 ISSN 2194-5357 (P) ISSN 2194-5365 (P), ISBN 978-3-319-13152-8 ISBN 978-3-319-13153-5 (eBook), DOI 10.1007/978-3-319-13153-5, volume 331 -Proceedings of the Fourth INNS Symposia Series on Computational Intelligence in Information Systems (INNS-CIIS 2014) -pp 11-20
Uncontrolled Keywords:	Bit Error Rate, Quadrature Phase-Shift Keying, Signal-to-noise ratio, Maximum phase distortion.
Subjects:	Q Science > Q Science (General) > Q300 Cybernetics > Q350 Information theory
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr Adamu Abubakar
Date Deposited:	01 Apr 2015 10:59
Last Modified:	07 Sep 2017 11:18
URI:	http://irep.iium.edu.my/id/eprint/40163

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