Adaptive Channel Equalisation Using Minimum BER Gradient-Newton Algorithms

Rodrigo C. de Lamare, Raimundo Sampaio-Neto

DOI: 10.14209/its.2002.389

Evento: 2002 International Telecommunications Symposium (ITS2002)

Keywords:

Abstract

"In this paper we investigate the use of adaptive minimum bit error rate (MBER) Gradient-Newton algorithms for channel equalisation applications. The proposed algorithms approximate the bit error rate (BER) from training data using linear transversal and decision feedback (DFE) equaliser structures. A comparative analysis of linear and DFE equalisers, employing minimum mean squared error (MMSE), previously reported MBER and the proposed MBER algorithms is carried out. Computer simulation experiments show that the MBER Gradient-Newton approaches outperform other analysed algorithms and can operate with shorter training sequences."

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