Title :
Iterative MIMO ML detection with on-line initialization selection for unknown channels and unstructured asynchronous interference
Author :
Kuzminskiy, Alexandr M.
Author_Institution :
Bell Labs., Lucent Technol., Swindon, UK
Abstract :
An iterative maximum likelihood (ML) detection for multiple transmit and receive antennas (MIMO) systems under an asynchronous interference scenario is addressed. It has been observed that, depending on the overlapping between interference and the training interval, different initializations are required for the iterative ML scheme. A reconfigurable receiver is proposed, which exploits on-line initialization selection. Its efficiency is demonstrated in TDMA and OFDM environments.
Keywords :
MIMO systems; OFDM modulation; cochannel interference; iterative methods; maximum likelihood detection; radio receivers; telecommunication channels; time division multiple access; CCI; MIMO systems; OFDM; TDMA; cochannel interference; iterative ML detection; iterative detection; iterative maximum likelihood detection; on-line initialization selection; unstructured asynchronous interference; Data models; Detectors; Interference cancellation; Iterative algorithms; MIMO; Maximum likelihood detection; Maximum likelihood estimation; OFDM; Radiofrequency interference; Training data;
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th
Print_ISBN :
0-7803-7954-3
DOI :
10.1109/VETECF.2003.1285091
