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