Title :
Breadth first algorithms for APP detectors over MIMO channels
Author :
Le Ruyet, Didier ; Bertozzi, Tanya ; Özbek, Berna
Author_Institution :
CNAM, Paris, France
Abstract :
For iterative decoding of multiple antenna systems concatenated with an outer error correcting code, it is important to use an a posteriori probability detector for the MIMO detection to achieve near capacity performance. To avoid full APP detection, we propose a reduced complexity detector based on breadth first algorithms. Although these algorithms are sub-optimal, we show that they can provide a good list of candidates for the APP calculation. Furthermore, by exploiting the a priori information delivered from the outer decoder, it is possible to decrease the MIMO detector complexity at each iteration. Using simulation results, we will compare the performance of the proposed detectors with the list sphere detector.
Keywords :
MIMO systems; antenna arrays; computational complexity; error correction codes; fading channels; iterative decoding; maximum likelihood detection; tree searching; MIMO channels; a posteriori probability detector; breadth first algorithms; error correcting code; iterative decoding; multiple antenna systems; multiple-input multiple-output channels; Block codes; Capacity planning; Concatenated codes; Detectors; Error correction codes; Fading; Iterative algorithms; Iterative decoding; MIMO; Wireless communication;
Conference_Titel :
Communications, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8533-0
DOI :
10.1109/ICC.2004.1312637