Title :
Low Complexity Near-ML Detection for MIMO-OFDM System
Author :
Cai, Z.H. ; Tan, P.H. ; Hao, J.Z. ; Pang, C.M. ; Sun, S.M. ; Chin, P.S.
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
Abstract :
A low complexity M-algorithm based multiple-input multiple-output (MIMO) tree search algorithm with near maximum likelihood (ML) performance is proposed in this paper. Numerical examples show that our tree search algorithm is able to provide a significant performance gain over the MMSE detection. Based on this algorithm, a fully pipelined architecture is presented for the MIMO orthogonal frequency division multiplexing (OFDM) systems. The throughput for a 4x4 MIMO-OFDM IEEE 802.11n system with 64-QAM is 312 Mbps.
Keywords :
MIMO communication; OFDM modulation; least mean squares methods; maximum likelihood detection; quadrature amplitude modulation; tree searching; wireless LAN; 64-QAM; IEEE 802.11n system; MIMO-OFDM system; MMSE detection; maximum likelihood performance; multiple-input multiple-output tree search algorithm; near-ML detection; orthogonal frequency division multiplexing systems; Complexity theory; Detectors; IEEE 802.11n Standard; MIMO; Modulation; OFDM; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3573-9
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2010.5594128
