DocumentCode :
3510792
Title :
Prefiltering for higher order advantage
Author :
Ioup, George E. ; Pflug, Lisa A. ; Ioup, Juliette W. ; Field, Robert L.
Author_Institution :
Dept. of Phys., New Orleans Univ., LA, USA
fYear :
1993
fDate :
1993
Firstpage :
309
Lastpage :
313
Abstract :
Prefiltering, or limiting the spectral domain of data, improves maximum magnitude correlation peak detectors, both ordinary and higher order, for known and unknown sources. The only exception is the matched filter, which intrinsically contains prefiltering. For the cases studied, prefiltering generally has a higher order advantage, i.e., for higher order and in higher dimensions, it is even more effective than in one dimension for the ordinary correlation. Geometrical considerations can give some insight into this advantage. The tricorrelation detector with prefiltering performs best for all eight tested signals in the unknown source tests, and is the best detector for seven of the eight signals in the known source tests. Prefiltering for higher order correlation detectors involves only one-dimensional filtering and so is computationally efficient.
Keywords :
correlation methods; filtering and prediction theory; signal detection; geometrical considerations; higher order correlation detectors; matched filter; maximum magnitude correlation peak detectors; one-dimensional filtering; prefiltering; source tests; spectral domain; tested signals; tricorrelation detector; Bandwidth; Detectors; Laboratories; Limiting; Matched filters; Passband; Physics; Signal processing; Signal to noise ratio; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location :
South Lake Tahoe, CA, USA
Print_ISBN :
0-7803-1238-4
Type :
conf
DOI :
10.1109/HOST.1993.264546
Filename :
264546
Link To Document :
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