Performance evaluation of energy detection for correlated random signals

Rajesh K. Sharma; Anastasia Lavrenko; Reiner S. Thomä

doi:10.1109/VTCSpring.2013.6692701

Performance evaluation of energy detection for correlated random signals

Rajesh K. Sharma, Anastasia Lavrenko, Reiner S. Thomä

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

2 Citations (Scopus)

Abstract

This paper investigates the performance of energy detection (ED) for random signals having sufficient autocorrelation. As opposed to the uncorrelated noise, practical communication signals have autocorrelation, which can be exploited for optimal detection if the correlation is known a priori. Otherwise ED can be employed as a generalized sensing method for unknown signals. However, since ED is optimal only when signal samples are uncorrelated, its performance degrades due to the correlation present. We investigate the detection performance of ED both analytically and by simulation under the assumption of Gaussian signal having exponential autocorrelation function. Analysis and simulation show that the performance degradation is negligible for low signal-to-noise ratio (SNR) levels, and also for the first-lag correlation less than 0.5. For highly correlated signals, the degradation is pronounced when SNR is above -12 dB.

Original language	English
Title of host publication	2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	978-1-4673-6337-2
DOIs	https://doi.org/10.1109/VTCSpring.2013.6692701
Publication status	Published - 2013
Externally published	Yes
Event	77th IEEE Vehicular Technology Conference (VTC 2013-Spring) - Dresden, Germany Duration: 2 Jun 2013 → 5 Jun 2013 Conference number: 77 http://www.ieeevtc.org/vtc2013spring/

Publication series

Name	Proceedings IEEE Vehicular Technology Conference (VTC)
Publisher	IEEE
Number	77
Volume	2013
ISSN (Print)	1550-2252

Conference

Conference	77th IEEE Vehicular Technology Conference (VTC 2013-Spring)
Abbreviated title	VTC Spring 2013
Country/Territory	Germany
City	Dresden
Period	2/06/13 → 5/06/13
Other	VTC2013-Spring was held in conjunction with this year's 5th International Symposium on Wireless Vehicular Communications (WiVeC 2013).
Internet address	http://www.ieeevtc.org/vtc2013spring/

Keywords

n/a OA procedure

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10.1109/VTCSpring.2013.6692701

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title = "Performance evaluation of energy detection for correlated random signals",

abstract = "This paper investigates the performance of energy detection (ED) for random signals having sufficient autocorrelation. As opposed to the uncorrelated noise, practical communication signals have autocorrelation, which can be exploited for optimal detection if the correlation is known a priori. Otherwise ED can be employed as a generalized sensing method for unknown signals. However, since ED is optimal only when signal samples are uncorrelated, its performance degrades due to the correlation present. We investigate the detection performance of ED both analytically and by simulation under the assumption of Gaussian signal having exponential autocorrelation function. Analysis and simulation show that the performance degradation is negligible for low signal-to-noise ratio (SNR) levels, and also for the first-lag correlation less than 0.5. For highly correlated signals, the degradation is pronounced when SNR is above -12 dB.",

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author = "Sharma, {Rajesh K.} and Anastasia Lavrenko and Thom{\"a}, {Reiner S.}",

year = "2013",

doi = "10.1109/VTCSpring.2013.6692701",

language = "English",

series = "Proceedings IEEE Vehicular Technology Conference (VTC)",

publisher = "IEEE",

number = "77",

booktitle = "2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings",

address = "United States",

note = "77th IEEE Vehicular Technology Conference (VTC 2013-Spring), VTC Spring 2013 ; Conference date: 02-06-2013 Through 05-06-2013",

url = "http://www.ieeevtc.org/vtc2013spring/",

}

Sharma, RK, Lavrenko, A & Thomä, RS 2013, Performance evaluation of energy detection for correlated random signals. in 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings., 6692701, Proceedings IEEE Vehicular Technology Conference (VTC), no. 77, vol. 2013, IEEE, Piscataway, NJ, 77th IEEE Vehicular Technology Conference (VTC 2013-Spring), Dresden, Germany, 2/06/13. https://doi.org/10.1109/VTCSpring.2013.6692701

Performance evaluation of energy detection for correlated random signals. / Sharma, Rajesh K.; Lavrenko, Anastasia; Thomä, Reiner S.
2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings. Piscataway, NJ: IEEE, 2013. 6692701 (Proceedings IEEE Vehicular Technology Conference (VTC); Vol. 2013, No. 77).

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

TY - GEN

T1 - Performance evaluation of energy detection for correlated random signals

AU - Sharma, Rajesh K.

AU - Lavrenko, Anastasia

AU - Thomä, Reiner S.

N1 - Conference code: 77

PY - 2013

Y1 - 2013

N2 - This paper investigates the performance of energy detection (ED) for random signals having sufficient autocorrelation. As opposed to the uncorrelated noise, practical communication signals have autocorrelation, which can be exploited for optimal detection if the correlation is known a priori. Otherwise ED can be employed as a generalized sensing method for unknown signals. However, since ED is optimal only when signal samples are uncorrelated, its performance degrades due to the correlation present. We investigate the detection performance of ED both analytically and by simulation under the assumption of Gaussian signal having exponential autocorrelation function. Analysis and simulation show that the performance degradation is negligible for low signal-to-noise ratio (SNR) levels, and also for the first-lag correlation less than 0.5. For highly correlated signals, the degradation is pronounced when SNR is above -12 dB.

AB - This paper investigates the performance of energy detection (ED) for random signals having sufficient autocorrelation. As opposed to the uncorrelated noise, practical communication signals have autocorrelation, which can be exploited for optimal detection if the correlation is known a priori. Otherwise ED can be employed as a generalized sensing method for unknown signals. However, since ED is optimal only when signal samples are uncorrelated, its performance degrades due to the correlation present. We investigate the detection performance of ED both analytically and by simulation under the assumption of Gaussian signal having exponential autocorrelation function. Analysis and simulation show that the performance degradation is negligible for low signal-to-noise ratio (SNR) levels, and also for the first-lag correlation less than 0.5. For highly correlated signals, the degradation is pronounced when SNR is above -12 dB.

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DO - 10.1109/VTCSpring.2013.6692701

M3 - Conference contribution

AN - SCOPUS:84893575642

T3 - Proceedings IEEE Vehicular Technology Conference (VTC)

BT - 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings

PB - IEEE

CY - Piscataway, NJ

T2 - 77th IEEE Vehicular Technology Conference (VTC 2013-Spring)

Y2 - 2 June 2013 through 5 June 2013

ER -

Performance evaluation of energy detection for correlated random signals

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