Perceptron as BER estimator

Perceptron as BER estimator

Presents a neural network-based method for online BER monitoring in digital communication systems. According to this method, communication channel distributions are estimated and their statistical moments calculated. An artificial neural network is trained to map these moments into appropriate value...

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Bibliographic Details
Published in:Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287) pp. 53 - 57
Main Authors: Narandzic, M., Zrilic, D., Senk, V.
Format: Conference Proceeding
Language:English
Published: IEEE 2000
Subjects:
Bit error rate
Communication systems
Condition monitoring
Decision making
Distortion measurement
Distribution functions
Neural networks
Statistical analysis
Testing
Velocity measurement
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Description
Summary:Presents a neural network-based method for online BER monitoring in digital communication systems. According to this method, communication channel distributions are estimated and their statistical moments calculated. An artificial neural network is trained to map these moments into appropriate values of bit error rate.
ISBN:9780780355125
0780355121
DOI:10.1109/NEUREL.2000.902384