DocumentCode :
1749413
Title :
On the use of matching pursuit time-frequency techniques for multiple-channel detection
Author :
Ghartey, Kofi ; Papandreou-Suppappola, Antonia ; Cochran, Douglas
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
5
fYear :
2001
fDate :
2001
Firstpage :
3201
Abstract :
In situations where the presence of a signal is to be detected in several noisy channels, often one channel will have higher signal-to-noise ratio (SNR) than the others. When the SNR on one channel is sufficiently high that the signal can be extracted from that channel, it may be possible to use the extracted signal to aid in detecting the presence of the signal on the other channels. The matching pursuit time-frequency method with matched signal dictionaries is used to extract a chirp signal from a noisy channel. The extracted signal is used in one channel of a generalized coherence (GC) detector with the goal of detecting the presence of the signal on other, even noisier, channels. This approach is compared via simulation to a GC detector that does not pre-process the highest SNR channel to extract the signal. Detector performance is shown to be significantly enhanced by matching pursuit signal extraction prior to coherence estimation
Keywords :
chirp modulation; signal detection; time-frequency analysis; SNR; chirp signal; generalized coherence detector; matched signal dictionaries; matching pursuit; multiple-channel detection; noisy channels; performance; signal detection; signal extraction; signal-to-noise ratio; time-frequency techniques; Additive white noise; Chirp; Data mining; Detectors; Dictionaries; Equations; Matching pursuit algorithms; Probability; Signal to noise ratio; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940339
Filename :
940339
Link To Document :
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