Title :
An adaptive receiver for space-time trellis codes based on per-survivor processing
Author :
Cozzo, Carmela ; Hughes, Brian L.
Author_Institution :
Ericsson Res., Research Triangle Park, NC, USA
fDate :
8/1/2002 12:00:00 AM
Abstract :
An adaptive receiver based on per-survivor processing is proposed for detecting space-time trellis codes transmitted over time-selective flat-fading channels, and its performance is examined through simulations. Results suggest that the new receiver can outperform iterative approaches based on Kalman filtering and the expectation-maximization algorithm, at the cost of increased receiver complexity.
Keywords :
Kalman filters; adaptive systems; diversity reception; fading channels; filtering theory; maximum likelihood estimation; multipath channels; radio receivers; signal detection; signal processing; trellis codes; Kalman filter channel estimation; Kalman filtering; MLE; adaptive receiver; data detection; expectation-maximization algorithm; iterative approach; maximum-likelihood estimates; multipath fading channels; multiple-antenna communications; per-survivor processing; receiver complexity; receiver performance; simulations; space-time trellis codes; time-selective flat-fading channels; transmit diversity; Channel estimation; Convolutional codes; Costs; Fading; Filtering; Iterative algorithms; Iterative methods; Kalman filters; Receiving antennas; Transmitting antennas;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2002.801457
