DocumentCode :
3382810
Title :
Signal detection by detecting departure from noise
Author :
Wilson, Dennis L. ; Wayman, James L.
fYear :
1992
fDate :
7-9 Oct 1992
Firstpage :
118
Lastpage :
121
Abstract :
The short term sample spectrum is examined to determine if the sample spectrum is noise-like. The parameters measured are nonparametric and include the sample coefficient of variation, the center frequency, the bandwidth, and higher order measures of the spectrum. For a typical application in a voice grade channel, the performance of the detector is orders of magnitude better than the usual adaptive short term energy threshold detectors. The time between false alarms goes from minutes to days for a given detection probability. The detection is independent of the signal amplitude. There are no adaptive thresholds requiring signal history for operation. Signals may be detected in a very short time after the analysis is begun, the time required to accumulate enough samples to form one sample spectrum
Keywords :
Adaptive signal detection; Bandwidth; Detectors; Fourier transforms; Frequency measurement; History; Semiconductor device measurement; Signal detection; Signal processing; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
Type :
conf
DOI :
10.1109/SSAP.1992.246862
Filename :
246862
Link To Document :
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