For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Blind Algorithm for Decision Feedback Equalizer
Bo Seok SEO Jae Hyok LEE Choong Woong LEE
IEICE TRANSACTIONS on Communications
Publication Date: 1997/01/25
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Communication Device and Circuit
blind equalization, decision feedback equalizer, constant modulus algorithm, decision feedback prediction algorithm,
Full Text: PDF(356.8KB)>>
In this letter, we propose a blind adaptation method for the decision feedback equalizer (DFE). In the proposed scheme, a DFE is divided into two parts: a front-end linear equalizer (LE), and a prediction error filter (PEF) followed by a feedback part. The coefficients of the filters in each part are updated using constant modulus algorithm and decision feedback prediction algorithm, respectively. The front-end LE removes intersymbol interference ISI, and the PEF with feedback part whitens the noise to reduce noise power enhanced by the LE. Pre-processing by the LE enables the DFE to equalize nonminimum phase channels. Simulation results show that the proposed scheme provides reliable convergence, and the resulting symbol error rate is much less than that of the conventional LE and very close to that of the DFE using a training sequence.