ANN BASED DEMODULATOR FOR UMTS SIGNAL MEASUREMENTS

Domenico Luca Carnì, Domenico Grimaldi

Abstract

The paper proposes the use of the Artificial Neural Network (ANN) to design a new demodulator of the telecommunication signals. This demodulator is candidate to be employed into the measurement instrument of the third generation mobile telecommunications UMTS Terrestrial Radio Access. It is developed on the basis of the multiplayer perceptron ANN and it permits to perform in one shot both the descrambling and the despreading operations. Numerical tests performed by using signals according to the UMTS standard show that the ANN demodulator can guaranty greater accuracy than the traditional one in the case the modulated signal is affected by high level of both noise and distortion.

Keywords

UMTS, demodulator, descrambling, despreading, Artificial Neural Network

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IMEKO-TC4-2004-008.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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