DocumentCode :
2997968
Title :
Detection of unknown-frequency sinusoids in noise via autoregressive modeling
Author :
Polydoros, Andreas ; Nikias, Chrysostomos L.
Author_Institution :
University of Southern California, Los Angeles and Axiomatix Corporation, USA
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
2807
Lastpage :
2810
Abstract :
A family of autoregressive (AR) detection statistics is introduced and their potential for enhanced detection of unknown-frequency sinusoids in noise is illustrated. AR models applied to both the time data and the correlation data are addressed and compared. The computational complexity of the resulting decision rules is also incorporated in the analysis.
Keywords :
AWGN; Additive white noise; Bandwidth; Baseband; Detectors; Digital signal processing; Frequency; Gaussian noise; Radar detection; Sonar detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1168567
Filename :
1168567
Link To Document :
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