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GMSK demodulation using K-means clustering techniques

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2 Author(s)
Savazzi, P. ; Dipt. di Elettronica, Pavia Univ., Italy ; Favalli, L.

Recent applications of clustering and neural network techniques to channel equalization have revealed the classification nature of this problem. This paper illustrates an implementation of a GSM receiver in which channel equalization and demodulation are realized by means of the K-means algorithm. The advantage is found in the significant reduction of the computational complexity with respect to the classical MLSE equalizer. The performance of the proposed receiver, evaluated through a channel simulator for mobile radio communications, are compared with results obtained by means of a classical 16 states Viterbi processor. It is shown that despite strong simplification in the receiver, performances are still acceptable considering the ETSI parameters

Published in:

Universal Personal Communications, 1998. ICUPC '98. IEEE 1998 International Conference on  (Volume:2 )

Date of Conference:

5-9 Oct 1998

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