DocumentCode
1544472
Title
Neural networks for signal detection in non-Gaussian noise
Author
Gandhi, Prashant P. ; Ramamurti, Viswanath
Author_Institution
Dept. of Adv. Audio Design, Texas Instrum. Inc., Dallas, TX, USA
Volume
45
Issue
11
fYear
1997
fDate
11/1/1997 12:00:00 AM
Firstpage
2846
Lastpage
2851
Abstract
We employ neural networks to detect known signals in additive non-Gaussian noise. Training of the neural network for signal detection and its operation at some specified probability of false alarm are discussed. Performance of neural detectors are presented under several non-Gaussian noise environments and are compared with those of matched filter and locally optimum detectors
Keywords
learning (artificial intelligence); multilayer perceptrons; noise; probability; signal detection; additive nonGaussian noise; false alarm probability; locally optimum detectors; matched filter; multilayer neural network; neural networks; nonGaussian noise; performance; signal detection; training; Additive noise; Detectors; Intelligent networks; Matched filters; Neural networks; Radar detection; Signal detection; Signal processing; Sonar detection; Working environment noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.650111
Filename
650111
Link To Document