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
fDate :
11/1/1997 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
