A Cyclostationary feature detector

Scott Enserink; Douglas Cochran

doi:10.1109/ACSSC.1994.471573

A Cyclostationary feature detector

Scott Enserink, Douglas Cochran

IAFSE-ECEE: Electrical Engineering

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

125 Scopus citations

Abstract

Cyclostationary models for communications signals have been shown in recent years to offer many advantages over stationary models. Stationary models are adequate in many situations, but they cause important features of the signal to be overlooked. One such important feature is the correlation between spectral components that many signals exhibit. Cyclostationary models allow this spectral correlation to be exploited. This paper presents a signal detector that exploits spectral correlation to determine the presence or absence of a cyclostationary signal in noise. The detector's probability of false alarm is analytically derived. Computer simulations verify that the analytical derivation is correct. The detector's receiver operating characteristic curves are determined from the simulation data and the analytical expression for the probability of false alarm.

Original language	English (US)
Title of host publication	Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Publisher	IEEE Computer Society
Pages	806-810
Number of pages	5
ISBN (Electronic)	0818664053
DOIs	https://doi.org/10.1109/ACSSC.1994.471573
State	Published - 1994
Event	28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States Duration: Oct 31 1994 → Nov 2 1994

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2
ISSN (Print)	1058-6393

Conference

Conference	28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Country	United States
City	Pacific Grove
Period	10/31/94 → 11/2/94

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.1994.471573

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A Cyclostationary feature detector. / Enserink, Scott; Cochran, Douglas.

Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994. IEEE Computer Society, 1994. p. 806-810 471573 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2).

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

Enserink, S & Cochran, D 1994, A Cyclostationary feature detector. in Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994., 471573, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2, IEEE Computer Society, pp. 806-810, 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994, Pacific Grove, United States, 10/31/94. https://doi.org/10.1109/ACSSC.1994.471573

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abstract = "Cyclostationary models for communications signals have been shown in recent years to offer many advantages over stationary models. Stationary models are adequate in many situations, but they cause important features of the signal to be overlooked. One such important feature is the correlation between spectral components that many signals exhibit. Cyclostationary models allow this spectral correlation to be exploited. This paper presents a signal detector that exploits spectral correlation to determine the presence or absence of a cyclostationary signal in noise. The detector's probability of false alarm is analytically derived. Computer simulations verify that the analytical derivation is correct. The detector's receiver operating characteristic curves are determined from the simulation data and the analytical expression for the probability of false alarm.",

author = "Scott Enserink and Douglas Cochran",

note = "Funding Information: {\textquoteleft}This work wab supportcd in part by Motorola Inc. rinder the liniversitp Partnerships iii IResoarch Program and in part by the U.S. Air Vorcr under grant number F449620-93-1-0051. The support. of an Armd Forces C:ommiinications and Elec- tronirs Associatiun Post-Graduate fellowship is also gratefully acknowledged.; 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 ; Conference date: 31-10-1994 Through 02-11-1994",

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AB - Cyclostationary models for communications signals have been shown in recent years to offer many advantages over stationary models. Stationary models are adequate in many situations, but they cause important features of the signal to be overlooked. One such important feature is the correlation between spectral components that many signals exhibit. Cyclostationary models allow this spectral correlation to be exploited. This paper presents a signal detector that exploits spectral correlation to determine the presence or absence of a cyclostationary signal in noise. The detector's probability of false alarm is analytically derived. Computer simulations verify that the analytical derivation is correct. The detector's receiver operating characteristic curves are determined from the simulation data and the analytical expression for the probability of false alarm.

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