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

Mohammed Saleh, Hilmi Sanusi, Adamu I. Abubakar, Haruna Chiroma, Edi Sutoyo, Mungad, Tutut Herawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages11-20
Number of pages10
Volume331
ISBN (Print)9783319131528
DOIs
Publication statusPublished - 2015
Event4th International Neural Network Society Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014 - Bandar Seri Begawan
Duration: 7 Nov 20149 Nov 2014

Publication series

NameAdvances in Intelligent Systems and Computing
Volume331
ISSN (Print)21945357

Other

Other4th International Neural Network Society Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014
CityBandar Seri Begawan
Period7/11/149/11/14

Fingerprint

Quadrature phase shift keying
Signal to noise ratio
Local area networks
Bit error rate
Satellites
Communication

Keywords

  • Bit Error Rate
  • Maximum phase distortion
  • Quadrature Phase-Shift Keying
  • Signal-to-noise ratio

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Saleh, M., Sanusi, H., Abubakar, A. I., Chiroma, H., Sutoyo, E., Mungad, & Herawan, T. (2015). A novel algorithm to detect a QPSK signal with the minimum number of samples. In Advances in Intelligent Systems and Computing (Vol. 331, pp. 11-20). (Advances in Intelligent Systems and Computing; Vol. 331). Springer Verlag. https://doi.org/10.1007/978-3-319-13153-5_2

A novel algorithm to detect a QPSK signal with the minimum number of samples. / Saleh, Mohammed; Sanusi, Hilmi; Abubakar, Adamu I.; Chiroma, Haruna; Sutoyo, Edi; Mungad; Herawan, Tutut.

Advances in Intelligent Systems and Computing. Vol. 331 Springer Verlag, 2015. p. 11-20 (Advances in Intelligent Systems and Computing; Vol. 331).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saleh, M, Sanusi, H, Abubakar, AI, Chiroma, H, Sutoyo, E, Mungad & Herawan, T 2015, A novel algorithm to detect a QPSK signal with the minimum number of samples. in Advances in Intelligent Systems and Computing. vol. 331, Advances in Intelligent Systems and Computing, vol. 331, Springer Verlag, pp. 11-20, 4th International Neural Network Society Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014, Bandar Seri Begawan, 7/11/14. https://doi.org/10.1007/978-3-319-13153-5_2
Saleh M, Sanusi H, Abubakar AI, Chiroma H, Sutoyo E, Mungad et al. A novel algorithm to detect a QPSK signal with the minimum number of samples. In Advances in Intelligent Systems and Computing. Vol. 331. Springer Verlag. 2015. p. 11-20. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-13153-5_2
Saleh, Mohammed ; Sanusi, Hilmi ; Abubakar, Adamu I. ; Chiroma, Haruna ; Sutoyo, Edi ; Mungad ; Herawan, Tutut. / A novel algorithm to detect a QPSK signal with the minimum number of samples. Advances in Intelligent Systems and Computing. Vol. 331 Springer Verlag, 2015. pp. 11-20 (Advances in Intelligent Systems and Computing).
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