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

Volume

1

fYear

2003

fDate

6-9 Oct. 2003

Firstpage

617

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th

ISSN

1090-3038

Print_ISBN

0-7803-7954-3

Type

conf

DOI

10.1109/VETECF.2003.1285091

Filename

1285091