DocumentCode
1952836
Title
An examination of the use of signal excess as a broadband detection performance model
Author
Mulvey, Mark E.
Author_Institution
AETC Inc., San Diego, CA, USA
Volume
4
fYear
2001
fDate
2001
Firstpage
2152
Abstract
Many modern sonar systems are developed with signal excess as the performance criteria for detection optimization. For narrowband signals, signal excess is well defined and is directly related to the receiver operating characteristic (ROC) performance. In the case of colored signal or noise, however, signal excess is no longer directly related to the ROC performance and may mislead the sonar control system. We examine the use of signal excess for modeling broadband sonar detection performance of the quadratic detector in the case of colored Gaussian signal and noise. We derive the spectral weighting function twice; once to maximize signal excess and again to maximize ROC performance. We then compare the performance of the two weighting functions. Also presented is a simulation of the optimization of the center frequency and bandwidth with a total transducer output power constraint of the transducer for a fixed range. In the appendix, we review three methods of computing signal excess and validate by Monte Carlo simulation
Keywords
Gaussian noise; Monte Carlo methods; optimisation; sonar detection; spectral analysis; Gaussian noise; Monte Carlo simulation; ROC performance; broadband detection performance model; broadband sonar detection performance; center frequency; colored Gaussian signal; colored noise; detection optimization; narrowband signals; quadratic detector; receiver operating characteristic; signal excess; simulation; sonar control system; sonar systems; spectral weighting function; transducer output power constraint; weighting functions; Colored noise; Computational modeling; Constraint optimization; Control systems; Detectors; Frequency; Gaussian noise; Narrowband; Sonar detection; Transducers;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location
Honolulu, HI
Print_ISBN
0-933957-28-9
Type
conf
DOI
10.1109/OCEANS.2001.968332
Filename
968332
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