Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861043
