TY - GEN
T1 - A Cyclostationary feature detector
AU - Enserink, Scott
AU - Cochran, Douglas
N1 - Funding Information:
‘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.
Publisher Copyright:
© 1995 IEEE.
PY - 1994
Y1 - 1994
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.
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U2 - 10.1109/ACSSC.1994.471573
DO - 10.1109/ACSSC.1994.471573
M3 - Conference contribution
AN - SCOPUS:84917676883
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
T2 - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Y2 - 31 October 1994 through 2 November 1994
ER -