Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines

Author

Chen, S. ; Harris, C.J.

Author_Institution

Dept. of Electron. & Comput. Sci., Southampton Univ., UK

Volume

5

fYear

2000

fDate

2000

Firstpage

2701

Abstract

The conventional decision feedback equalizer (DFE) separates the different signal classes using a single hyperplane. It is well known that the popular minimum mean square error (MMSE) design is generally not the optimal minimum bit error rate (MBER) solution. We propose a method of designing the separating hyperplane for the conventional DFE based on support vector machines (SVMs). The SVM design achieves asymptotically the MBER solution and can be computed efficiently

Keywords

adaptive equalisers; decision feedback equalisers; error statistics; learning automata; least mean squares methods; optimisation; DFE; MBER solution; MMSE; adaptive implementation; decision feedback equalizer; minimum mean square error; optimal minimum bit error rate; optimal separating hyperplane design; signal classes separation; support vector machines; Bit error rate; Computer science; Decision feedback equalizers; Filters; Mean square error methods; Quadratic programming; Signal generators; Support vector machine classification; Support vector machines; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861043

Filename

861043