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 | |
| State | Published - Jan 1 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 |
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ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications
Cite this
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
}
TY - GEN
T1 - A Cyclostationary feature detector
AU - Enserink, Scott
AU - Cochran, Douglas
PY - 1994/1/1
Y1 - 1994/1/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84917676883&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84917676883&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.1994.471573
DO - 10.1109/ACSSC.1994.471573
M3 - Conference contribution
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 806
EP - 810
BT - Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PB - IEEE Computer Society
ER -