Title :
Threshold list subset detector for turbo MIMO systems
Author :
Nammi, SaiRamesh
Author_Institution :
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Abstract :
A threshold based list detector is presented for multiple-input multiple-output (MIMO) system. The detector is based on subset-sum algorithm. The algorithm make use of a low complexity sub optimal minimum mean square error (MMSE) detector to find the bit reliabilities, and uses these reliabilities to generate list of possible candidate data vectors. It is shown through analysis that this detector can be designed to ensure a specific bit error performance with respect to the optimum maximum likelihood detector. The proposed threshold list subset sum detector (T-LSS) is extended for coded turbo MIMO transmission. Unlike other detectors proposed in the literature, the T-LSS detector generates list for each outer iteration.
Keywords :
MIMO communication; error statistics; maximum likelihood detection; mean square error methods; turbo codes; T-LSS detector; bit error performance; coded turbo MIMO transmission; minimum mean square error detector; multiple-input multiple-output system; optimum maximum likelihood detector; threshold list subset detector; turbo MIMO systems; Bit error rate; Detectors; Iterative algorithms; Iterative decoding; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Mean square error methods; Performance analysis; Transmitting antennas; Iterative methods; List processing; MIMO systems; Maximum likelihood detection;
Conference_Titel :
Wireless Conference, 2009. EW 2009. European
Conference_Location :
Aalborg
Print_ISBN :
978-1-4244-5935-3
DOI :
10.1109/EW.2009.5357985