Efficient detection of FSK-signals based on cyclic statistics

Yi Zhou, Khalid Qaraqe, Erchin Serpedin, Octavia Dobre

Research output: Contribution to conferencePaper

Abstract

Cognitive radios represent a powerful technology for improving the utilization of radio spectrum resources. Detection of low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance for cognitive radios. This paper proposes a detection algorithm based on the first-order cyclostationarity (or cyclic statistics) for frequency shift keying (FSK) signals that only requires partial knowledge on the signal bandwidth, carrier frequency and symbol rate. The results of both theoretical asymptotic analysis and computer simulations are presented. It is shown that the proposed algorithm performs well at low SNRs.

Original languageEnglish
Pages339-342
Number of pages4
DOIs
Publication statusPublished - 20 Aug 2010
Event8th International Conference on Communications, COMM 2010 - Bucharest, Romania
Duration: 10 Jun 201012 Jun 2010

Conference

Conference8th International Conference on Communications, COMM 2010
CountryRomania
CityBucharest
Period10/6/1012/6/10

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Keywords

  • Cognitive radio
  • Cyclostationarity
  • Frequency shift keying
  • Signal detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Communication

Cite this

Zhou, Y., Qaraqe, K., Serpedin, E., & Dobre, O. (2010). Efficient detection of FSK-signals based on cyclic statistics. 339-342. Paper presented at 8th International Conference on Communications, COMM 2010, Bucharest, Romania. https://doi.org/10.1109/ICCOMM.2010.5509111