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 language | English (US) |
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Title of host publication | IEEE Vehicular Technology Conference |
Pages | 1753-1757 |
Number of pages | 5 |
Volume | 60 |
Edition | 3 |
State | Published - 2004 |
Event | 2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States Duration: Sep 26 2004 → Sep 29 2004 |
Other
Other | 2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security |
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Country/Territory | United States |
City | Los Angeles, CA |
Period | 9/26/04 → 9/29/04 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering