DocumentCode :
2910329
Title :
Robust detection of signal classes
Author :
Kenny, O.P. ; White, L.B.
Author_Institution :
Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Volume :
5
fYear :
1995
fDate :
9-12 May 1995
Firstpage :
3131
Abstract :
This paper proposes a robust detection statistic for signals whose parameters are uncertain. Standard detection schemes generally use time domain correlation which can be related to correlation based on the Wigner-Ville distribution by Moyal´s identity. This paper shows that a more robust detection statistic is achieved by using generalised patterns in time-frequency space and deriving a non-linear time domain correlation. The performance of the robust detection statistic is evaluated with the aid of receiver operating curves, two robust detection examples are given
Keywords :
correlation methods; receivers; signal detection; statistical analysis; time-frequency analysis; Wigner-Ville distribution; generalised patterns; nonlinear time domain correlation; performance; receiver operating curves; robust detection statistic; robust signal detection; signal classes; signal parameters; time domain correlation; time-frequency space; Detection algorithms; Filtering; Matched filters; Robustness; Signal analysis; Signal detection; Signal processing; Speech analysis; Statistical distributions; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
ISSN :
1520-6149
Print_ISBN :
0-7803-2431-5
Type :
conf
DOI :
10.1109/ICASSP.1995.479548
Filename :
479548
Link To Document :
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