Reconfigurable real-time MIMO detector on GPU
Electrical and Computer Engineering, Rice University, Houston, Texas 77005
Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009
@conference{wu2009reconfigurable,
title={Reconfigurable real-time MIMO detector on GPU},
author={Wu, M. and Sun, Y. and Cavallaro, J.R.},
booktitle={Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on},
pages={690–694},
issn={1058-6393},
year={2009},
organization={IEEE}
}
In a high performance multiple-input multiple-output (MIMO) system, a soft output MIMO detector combined with a channel decoder is often used at the receiver to maximize performance gain. Graphic processor unit (GPU) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for signal processing applications. We propose and implement a novel soft MIMO detection algorithm and show we meet real-time performance while maintaining flexibility using GPU.
April 30, 2011 by hgpu
