Title :
Low complexity iterative MIMO receiver based on successive soft interference-cancellation and MMSE spatial-filtering
Author_Institution :
Appl. Res. Telcordia Technol., Inc., Red Bank, NJ, USA
Abstract :
For MIMO systems, the ST-BICM approach using iterative processing has been recognized as a method for achieving near-capacity performance. However, the a posteriori probability calculator in the MIMO detector, relying on exhaustive or partial search of candidate bit vectors, is not amenable to practical implementation at high rates ( ¿ 16 raw bits per channel use) due its exponential complexity in rate. On the other hand, recently developed low complexity single stream demappers based on a parallel approach, while yielding comparable performance in ideal conditions, suffer significant performance loss in several practical scenarios. In this paper, we propose a novel demapper which closes the performance gap between the low complexity detectors based on single stream demapping and their exponentially complex counterparts.
Keywords :
MIMO communication; filtering theory; interference suppression; iterative methods; least mean squares methods; radio receivers; MIMO detector; MIMO systems; MMSE spatial-filtering; ST-BICM; a posteriori probability calculator; exponential complexity; low complexity iterative MIMO receiver; single stream demapping; successive soft interference-cancellation; Detectors; Information filtering; Information filters; Interference cancellation; Iterative decoding; Iterative methods; MIMO; Maximum likelihood decoding; Performance loss; Probability; MIMO; ST-BICM; iterative (turbo) detection;
Conference_Titel :
Sarnoff Symposium, 2010 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-5592-8
DOI :
10.1109/SARNOF.2010.5469745