Soft input soft output Kalman equalizer for MIMO frequency selective fading channels

Subhadeep Roy, Tolga M. Duman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We consider the Kalman filter for equalization of a multiple-input multiple-output (MIMO), frequency selective, quasi-static fading channel. More specifically, we consider a coded system, where the incoming bit stream is convolutionally encoded, interleaved and then spatially multiplexed across the transmit antennas before being transmitted over a frequency selective channel At the receiver, we use a Kalman filter as the MIMO equalizer and modify its structure, enabling it to process the a-priori (soft) information provided by the outer decoder, thereby allowing us to perform iterative (turbo) equalization on the received sequence. The proposed equalizer has a comparable performance with the optimal symbol by symbol, maximum a-posteriori probability (MAP) equalizer and provides a considerable complexity reduction, especially for systems with a large number of transmit antennas or long ISI spans.

Original languageEnglish (US)
Title of host publicationIEEE Vehicular Technology Conference
Pages1753-1757
Number of pages5
Volume60
Edition3
StatePublished - 2004
Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
Duration: Sep 26 2004Sep 29 2004

Other

Other2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security
Country/TerritoryUnited States
CityLos Angeles, CA
Period9/26/049/29/04

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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