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
Download:
IMEKO-TC4-2004-008.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
TC4 Symposium 2004
Title:
XIII IMEKO TC4 International Symposium on Measurements for Research and Industrial Applications (together with IXth International Workshop on ADC Modeling and Testing, IWADC)
Place:
Athens, GREECE
Time:
29 September 2004 - 01 October 2004