Tracking analysis of an LMS decision feedback equalizer for a wireless channel

Kavitha, V and Sharma, V (2020) Tracking analysis of an LMS decision feedback equalizer for a wireless channel. In: 13th European Wireless Conference: Enabling Technologies for Wireless Multimedia Communications, EW 2007, 1 - 4 April 2007, Ecole Nationale Superieure de Techniques Avancees, Paris; France.

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Abstract

We consider a time varying wireless fading channel, equalized by an LMS Decision Feedback equalizer (DFE). We study how well this equalizer tracks the optimal MMSE-DFE (Wiener) equalizer. We model the channel by an Auto-regressive (AR) process. Then the LMS equalizer and the AR process are jointly approximated by the solution of a system of ODEs (ordinary differential equations). Using these ODEs, we show via some examples that the LMS equalizer moves close to the instantaneous Wiener filter after initial transience. We also compare the LMS equalizer with the instantaneous optimal DFE (the commonly used Wiener filter) designed assuming perfect previous decisions and computed using perfect channel estimate (we will call it as IDFE). We show that the LMS equalizer outperforms the IDFE almost all the time after initial transience. © EW 2007 - 13th European Wireless Conference: Enabling Technologies for Wireless Multimedia Communications. All rights reserved.

Item Type:	Conference Paper
Publication:	EW 2007 - 13th European Wireless Conference: Enabling Technologies for Wireless Multimedia Communications
Publisher:	Ecole Nationale Superieure de Techniques Avancees, ENSTA
Additional Information:	The copyright of this article belongs to Ecole Nationale Superieure de Techniques Avancees, ENSTA.
Keywords:	Fading channels; Multimedia systems; Ordinary differential equations, Autoregressive process; LMS equalizers; Perfect channels; System of odes; Tracking analysis; WIENER filters; Wireless channel; Wireless fading channels, Decision feedback equalizers
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	18 Nov 2020 06:12
Last Modified:	08 Dec 2022 11:24
URI:	https://eprints.iisc.ac.in/id/eprint/65816

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