arXiv · 1304.6154
Adaptive Iterative Decision Feedback Detection Algorithms for Multi-User MIMO Systems
Abstract
An adaptive iterative decision multi-feedback detection algorithm with constellation constraints is proposed for multiuser multi-antenna systems. An enhanced detection and interference cancellation is performed by introducing multiple constellation points as decision candidates. A complexity reduction strategy is developed to avoid redundant processing with reliable decisions along with an adaptive recursive least squares algorithm for time-varying channels. An iterative detection and decoding scheme is also considered with the proposed detection algorithm. Simulations show that the proposed technique has a complexity as low as the conventional decision feedback detector while it obtains a performance close to the maximum likelihood detector.
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Peng Li, Jingjing Liu, Rodrigo C. de Lamare. 2013-04-23. Adaptive Iterative Decision Feedback Detection Algorithms for Multi-User MIMO Systems. https://arxiv.org/abs/1304.6154
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