Detection of cyclostationarity using generalized coherence

Songsri Sirianunpiboon; Stephen D. Howard; Douglas Cochran

doi:10.1109/ICASSP.2018.8462367

Detection of cyclostationarity using generalized coherence

Songsri Sirianunpiboon, Stephen D. Howard, Douglas Cochran

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

2 Scopus citations

Abstract

A class of detectors for cyclostationarity is introduced. These detectors are based on the use of generalized coherence to measure correlation among two or more collections of random vectors. The generalized coherence framework allows any finite collection of pertinent samples of the cyclic auto-correlation function estimates formed from the measured signal data to be combined into the detection statistic. The performance of this approach is demonstrated and compared against other established cyclostationarity detectors in both a cognitive radio scenario and a multi-channel passive surveillance scenario.

Original language	English (US)
Title of host publication	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3449-3453
Number of pages	5
Volume	2018-April
ISBN (Print)	9781538646588
DOIs	https://doi.org/10.1109/ICASSP.2018.8462367
State	Published - Sep 10 2018
Event	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada Duration: Apr 15 2018 → Apr 20 2018

Other

Other	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/Territory	Canada
City	Calgary
Period	4/15/18 → 4/20/18

Keywords

Coherence
Cyclostationarity
Multiple-channel detection

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2018.8462367

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Detection of cyclostationarity using generalized coherence. / Sirianunpiboon, Songsri; Howard, Stephen D.; Cochran, Douglas.

2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 3449-3453 8462367.

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

Sirianunpiboon, S, Howard, SD & Cochran, D 2018, Detection of cyclostationarity using generalized coherence. in 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. vol. 2018-April, 8462367, Institute of Electrical and Electronics Engineers Inc., pp. 3449-3453, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, Calgary, Canada, 4/15/18. https://doi.org/10.1109/ICASSP.2018.8462367

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AB - A class of detectors for cyclostationarity is introduced. These detectors are based on the use of generalized coherence to measure correlation among two or more collections of random vectors. The generalized coherence framework allows any finite collection of pertinent samples of the cyclic auto-correlation function estimates formed from the measured signal data to be combined into the detection statistic. The performance of this approach is demonstrated and compared against other established cyclostationarity detectors in both a cognitive radio scenario and a multi-channel passive surveillance scenario.

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EP - 3453

BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings

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Y2 - 15 April 2018 through 20 April 2018

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Detection of cyclostationarity using generalized coherence

Abstract

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Keywords

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