Threshold Detection in Narrowband Non-Gaussian Noise.

The Middleton Class A narrowband non-Gaussian noise model is examined. It is shown that this noise model (which is known to fit closely a variety of non-Gaussian noises) can itself be closely approximated by a computationally much simpler noise model. It is then shown by numerical examples that, for...

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Bibliographic Details
Main Author: Vastola,Kenneth S
Other Authors: PRINCETON UNIV NJ INFORMATION SCIENCES AND SYSTEMS LAB
Format: Text
Language:English
Published: 1983
Subjects:
Numerical Mathematics
Cybernetics
Non-radio Communications
*MATHEMATICAL MODELS
*DETECTION
*THRESHOLD EFFECTS
*GAUSSIAN NOISE
*NARROWBAND
OPTIMIZATION
ICE
APPROXIMATION(MATHEMATICS)
RECEIVERS
BROADBAND
AMPLITUDE
AMBIENT NOISE
ARCTIC REGIONS
IGNITION SYSTEMS
ATMOSPHERICS
NEON TUBES
Locally optimum detection
Suboptical detectors
Middleton noise model
Class A noise
Narrowband noise
Aquatic animals
Nongaussian noise
Snapping shrimp
Spikes
Threshold detection
Class B noise
Submarine communications
WUSRO103
Arctic
Online Access:http://www.dtic.mil/docs/citations/ADA127319
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA127319
Description
Summary:The Middleton Class A narrowband non-Gaussian noise model is examined. It is shown that this noise model (which is known to fit closely a variety of non-Gaussian noises) can itself be closely approximated by a computationally much simpler noise model. It is then shown by numerical examples that, for the problem of locally optimum detection, the simplest form of this approximation yields nearly optimal (asymptotic) performance. The performance of other simple suboptimal threshold detectors in Class A noise is also examined. Finally, a useful relationship between the Class A model and the epsilon-mixture model is developed. (Author)

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