Recursive semi-blind equalizer for time-varying MIMO channels

Author

Enescu, Mihai ; Sirbu, Marius ; Koivunen, Visa

Author_Institution

Signal Process. Lab., Helsinki Univ. of Technol., Finland

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

289

Lastpage

292

Abstract

This paper addresses the problem of semi-blind multi-input multi-output (MIMO) equalization of time-varying channels by employing recursive filtering methods. Based on a realistic channel model described in COST 207 project, we derive a state-space model that characterizes the behavior of the channel in time. The channel estimation and tracking are performed using a Kalman filter method, and a decision feedback equalizer derived using MMSE criterion is used to perform the equalization

Keywords

Kalman filters; MIMO systems; blind equalisers; decision feedback equalisers; filtering theory; recursive estimation; recursive filters; state-space methods; time-varying channels; tracking filters; COST 207 project; DFE; Kalman filter method; MMSE criterion; channel estimation; channel model; channel tracking; decision feedback equalizer; inter-user interference; intersymbol interference; linearized GMSK signal; multi-input multi-output equalization; recursive filtering methods; recursive semi-blind equalizer; simulation results; state-space model; time-varying MIMO channels; time-varying channels; wireless communications; Additive noise; Costs; Decision feedback equalizers; Filtering; Intersymbol interference; Laboratories; MIMO; Signal processing; Time-varying channels; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955279

Filename

955279