TY - JOUR
AU1 - Podvalny, S L
AU2 - Likhotin, M A
AB - This paper presents the results and problems of telecommunication power amplifier modeling. The research tool is the mathematical apparatus of artificial neural networks. Simulation of the device was made according to the black box principle, operating solely with input and output data of the power amplifier under study. The criterion for the quality of model estimation was the signal-to-noise ratio adopted in radio engineering. Brief results of the previous research are shown. The problems associated with the simulation of a power amplifier operation basing on neural networks were investigated. An example is given of nonlinear distortions appearing in the device under consideration. The description is given of the joint work of a neural networks group based on analog signal clustering which works according to the principle of Grossberg’s adaptive resonance theory. The application results of this type of systems are shown. Discussing the problems concerning the use of this approach to simulation of the investigated processes.
TI - Intelligent identification of telecommunication channels in the distributed systems for digital control of power facilities
JF - IOP Conference Series: Materials Science and Engineering
DO - 10.1088/1757-899X/1035/1/012049
DA - 2021-01-30
UR - https://www.deepdyve.com/lp/iop-publishing/intelligent-identification-of-telecommunication-channels-in-the-zE4dK0ENTY
SP - 012049
VL - 1035
IS - 1
DP - DeepDyve
ER -