FPGA implementation of autocorrelation-based feature detector for cognitive radio

Kari Kokkinen*, Vesa Turunen, Marko Kosunen, Sachin Chaudhari, Visa Koivunen, Jussi Ryynänen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)


Cognitive radio is an emerging technology in communication systems. Cognitive radios aim to relief the shortage of spectral resources by identifying and exploiting underutilized radio spectrum. A key task of the cognitive radio is spectrum sensing in order to find free spectrum and detect licensed spectrum user transmissions. In this paper, an FPGA implementation of a feature detector for OFDM-based primary user signals is presented. The detection algorithm, that was originally presented in [1], is modified in order to achieve power and area efficient hardware realization. The algorithm is implemented in an FPGA evaluation environment, and the performance is verified in simulation.

Original languageEnglish
Title of host publication2009 NORCHIP
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
EventNordic Microelectronics Conference
- Trondheim, Norway
Duration: 16 Nov 200917 Nov 2009
Conference number: 27


ConferenceNordic Microelectronics Conference
Abbreviated titleNORCHIP


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