A suboptimal approach to channel equalization based on the nearest neighbor rule.

A suboptimal approach to channel equalization based on the nearest neighbor rule.

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 global system for mobile communications (GSM) receiver in which channel equalization and demodulation are realized b...

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Detalhes bibliográficos
Publicado no:IEEE Journal on selected areas in communications 16, 9 (1998).
Autor principal: Savazzi, P.
Formato: Artigo
Idioma:English
Assuntos:
16-state Viterbi algorithm.
BER.
GSM receiver.
GSM specifications.
MLSE demodulator.
MLSE equalizer.
Bit error rate.
Channel equalization.
Channel simulator.
Clustering techniques.
Computational complexity reduction.
Demodulation.
Global system for mobile communications.
Mapping process.
Maximum likelihood sequence estimation.
Mobile radio communications.
Nearest neighbor classifier algorithm.
Nearest neighbor rule.
Neural network techniques.
Pattern classification.
Performance.
Suboptimal approach.
Suboptimal receivers.
Training sequence.