FPGA implementation of autocorrelation-based feature detector for cognitive radio

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

doi:10.1109/NORCHP.2009.5397849

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

Department of Signal Processing and Acoustics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	2009 NORCHIP
DOIs	https://doi.org/10.1109/NORCHP.2009.5397849
Publication status	Published - 2009
MoE publication type	A4 Article in a conference publication
Event	Nordic Microelectronics Conference - Trondheim, Norway Duration: 16 Nov 2009 → 17 Nov 2009 Conference number: 27

Conference

Conference	Nordic Microelectronics Conference
Abbreviated title	NORCHIP
Country	Norway
City	Trondheim
Period	16/11/2009 → 17/11/2009

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10.1109/NORCHP.2009.5397849

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abstract = "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.",

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AU - Turunen, Vesa

AU - Kosunen, Marko

AU - Chaudhari, Sachin

AU - Koivunen, Visa

AU - Ryynänen, Jussi

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AB - 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.

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