Implementation of an autocorrelation-based spectrum sensing algorithm in real-world channels with frequency offset

Pat Chambers; Mathini Sellathurai

doi:10.1109/SSPD.2014.6943321

Implementation of an autocorrelation-based spectrum sensing algorithm in real-world channels with frequency offset

Pat Chambers^*
, Mathini Sellathurai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

This work presents a testbed implementation of a spectrum sensing algorithm for cognitive radio that is based on the autocorrelation function. Much of the work in current literature uses simulation based approaches to characterize functionality. In contrast here, the algorithm is applied in real-world channels and compared with appropriate simulations. It is shown how the algorithm may be improved to overcome the problem of frequency offset, which is a hardware-based impairment that current literature on the algorithm generally does not consider.

Original language	English
Title of host publication	2014 Sensor Signal Processing for Defence (SSPD)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	978-1-4799-5293-9
DOIs	https://doi.org/10.1109/SSPD.2014.6943321
Publication status	Published - 2014
Event	4th Sensor Signal Processing for Defence 2014 - Edinburgh, Edinburgh, United Kingdom Duration: 8 Sept 2014 → 9 Sept 2014

Conference

Conference	4th Sensor Signal Processing for Defence 2014
Abbreviated title	SSPD 2014
Country/Territory	United Kingdom
City	Edinburgh
Period	8/09/14 → 9/09/14

Keywords

MODULATION

ASJC Scopus subject areas

Signal Processing
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/SSPD.2014.6943321

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abstract = "This work presents a testbed implementation of a spectrum sensing algorithm for cognitive radio that is based on the autocorrelation function. Much of the work in current literature uses simulation based approaches to characterize functionality. In contrast here, the algorithm is applied in real-world channels and compared with appropriate simulations. It is shown how the algorithm may be improved to overcome the problem of frequency offset, which is a hardware-based impairment that current literature on the algorithm generally does not consider.",

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N2 - This work presents a testbed implementation of a spectrum sensing algorithm for cognitive radio that is based on the autocorrelation function. Much of the work in current literature uses simulation based approaches to characterize functionality. In contrast here, the algorithm is applied in real-world channels and compared with appropriate simulations. It is shown how the algorithm may be improved to overcome the problem of frequency offset, which is a hardware-based impairment that current literature on the algorithm generally does not consider.

AB - This work presents a testbed implementation of a spectrum sensing algorithm for cognitive radio that is based on the autocorrelation function. Much of the work in current literature uses simulation based approaches to characterize functionality. In contrast here, the algorithm is applied in real-world channels and compared with appropriate simulations. It is shown how the algorithm may be improved to overcome the problem of frequency offset, which is a hardware-based impairment that current literature on the algorithm generally does not consider.

KW - MODULATION

UR - https://www.scopus.com/pages/publications/84936804468

U2 - 10.1109/SSPD.2014.6943321

DO - 10.1109/SSPD.2014.6943321

M3 - Conference contribution

AN - SCOPUS:84936804468

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T2 - 4th Sensor Signal Processing for Defence 2014

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ER -

Implementation of an autocorrelation-based spectrum sensing algorithm in real-world channels with frequency offset

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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