Title :
Novel neural network-Bessel transform for behavioural modelling of a power amplifier
Author :
O´Toole, John ; Brazil, Thomas J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. Dublin, Ireland
Abstract :
A novel neural network based behavioural model is presented, which aims to decrease simulation time and increase the accuracy of existing models. The neural network model is an alternative to existing behavioural models, using a new neural network-Bessel transform to obtain the behavioural transfer function of the Power Amplifier (PA). The neural network then maps the transfer characteristics of the PA, based on the amplitude modulation-amplitude modulation (AM-AM), amplitude modulation-phase modulation (AM-PM) functions. The model is used to evaluate adjacent channel power for a Wideband CDMA (W-CDMA) signal
Keywords :
Bessel functions; circuit simulation; modulation; neural nets; power amplifiers; radiofrequency amplifiers; transforms; AM-AM functions; AM-PM functions; W-CDMA signal; adjacent channel power; amplitude modulation-amplitude modulation functions; amplitude modulation-phase modulation functions; behavioural modelling; behavioural transfer function; neural network based behavioural model; neural network-Bessel transform; nonlinear power amplifier; simulation time reduction; transfer characteristics mapping; wideband CDMA signal; Amplitude modulation; Circuit simulation; Digital modulation; Educational institutions; Modems; Multiaccess communication; Neural networks; Neurons; Power amplifiers; Transfer functions;
Conference_Titel :
High Frequency Postgraduate Student Colloquium, 2000
Conference_Location :
Dublin
Print_ISBN :
0-7803-6590-9
DOI :
10.1109/HFPSC.2000.874081
