Cyclostationarity feature matched detection and application to IFDMA system

Wensheng Zhang, Yukitoshi Sanada

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

Abstract

Spectrum sensing is the key function of Cognitive Radios which act as secondary users and dynamically access vacant frequency bands. In practice, this sensing function is fulfilled by detecting the existence of primary users' signals. Almost all modulated signals show cyclostationarity characteristics which are suitable for signal detection. Some specific signals (e.g. Interleaved Frequency Division Multiple Access (IFDMA) signal) regularly distributed in frequency domain possess specific cyclostationarity distribution feature which can be utilized to construct a signal detector. In this paper, cyclostationarity feature matched detection (Abbr. is the cyclostationarity detection during the following parts) based on the correlation of signal inherent distribution in frequency domain is proposed. We give the theoretical deduction of the proposed method and an application example built on the practical IFDMA signal. The proposed detection scheme is simple and efficient because only parts of frequency bands are examined. Simulation results show that the detection performance of the proposed scheme precedes that of the conventional energy detection and so called suboptimum cyclostationarity detection which is built without known signal distribution information. This paper gives the insight that signal inherent distribution information and signal (Cyclic Periodogram) CP distribution information are useful for the design of simple and efficient spectrum sensors.

Original languageEnglish
Title of host publicationProceedings of the 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009
DOIs
Publication statusPublished - 2009
Event2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009 - Hanover, Germany
Duration: 2009 Jun 222009 Jun 24

Other

Other2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009
CountryGermany
CityHanover
Period09/6/2209/6/24

Fingerprint

Frequency division multiple access
Frequency bands
Signal detection
Cognitive radio
Detectors
Sensors
deduction
radio
energy
simulation
performance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Cite this

Zhang, W., & Sanada, Y. (2009). Cyclostationarity feature matched detection and application to IFDMA system. In Proceedings of the 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009 [5189091] https://doi.org/10.1109/CROWNCOM.2009.5189091

Cyclostationarity feature matched detection and application to IFDMA system. / Zhang, Wensheng; Sanada, Yukitoshi.

Proceedings of the 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009. 2009. 5189091.

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

Zhang, W & Sanada, Y 2009, Cyclostationarity feature matched detection and application to IFDMA system. in Proceedings of the 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009., 5189091, 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009, Hanover, Germany, 09/6/22. https://doi.org/10.1109/CROWNCOM.2009.5189091
Zhang W, Sanada Y. Cyclostationarity feature matched detection and application to IFDMA system. In Proceedings of the 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009. 2009. 5189091 https://doi.org/10.1109/CROWNCOM.2009.5189091
Zhang, Wensheng ; Sanada, Yukitoshi. / Cyclostationarity feature matched detection and application to IFDMA system. Proceedings of the 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2009. 2009.
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