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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › 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 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/Territory	Norway
City	Trondheim
Period	16/11/2009 → 17/11/2009

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10.1109/NORCHP.2009.5397849

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title = "FPGA implementation of autocorrelation-based feature detector for cognitive radio",

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.",

author = "Kari Kokkinen and Vesa Turunen and Marko Kosunen and Sachin Chaudhari and Visa Koivunen and Jussi Ryyn{\"a}nen",

year = "2009",

doi = "10.1109/NORCHP.2009.5397849",

language = "English",

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T1 - FPGA implementation of autocorrelation-based feature detector for cognitive radio

AU - Kokkinen, Kari

AU - Turunen, Vesa

AU - Kosunen, Marko

AU - Chaudhari, Sachin

AU - Koivunen, Visa

AU - Ryynänen, Jussi

N1 - Conference code: 27

PY - 2009

Y1 - 2009

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=77949606506&partnerID=8YFLogxK

U2 - 10.1109/NORCHP.2009.5397849

DO - 10.1109/NORCHP.2009.5397849

M3 - Conference article in proceedings

AN - SCOPUS:77949606506

SN - 9781424443109

BT - 2009 NORCHIP

T2 - Nordic Microelectronics Conference<br/>

Y2 - 16 November 2009 through 17 November 2009

ER -

FPGA implementation of autocorrelation-based feature detector for cognitive radio

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