DocumentCode
3267480
Title
A Novel Adaptive Maximum Likelihood Sequence Detection Receiver for MIMO-OFDM System
Author
Zhou, Hanbing ; Liu, Haitao ; Li, Daoben ; Li, Gang
Author_Institution
Dept. of Inf. Eng., Beijing Univ. of Posts & Telecommun.
Volume
2
fYear
2006
fDate
25-28 June 2006
Firstpage
1045
Lastpage
1048
Abstract
Recently many detection methods for MIMO-OFDM system have been proposed in order to achieve high data rate. In this paper, we propose an adaptive maximum likelihood sequence detection (MLSD) receiver that can combat intersymbol interference without guard interval in MIMO-OFDM system. We present an implementation of the MLSD architecture for Viterbi algorithm detection based on Per-survivor processing (PSP) and adaptive least mean square (LMS) channel estimation algorithms. Performance comparison between this novel MLSD receiver without guard interval and that of conventional MLSD receiver is made. The bit error rate (BER) curve under different MIMO-ISI channel length is gave out
Keywords
MIMO communication; OFDM modulation; Viterbi detection; channel estimation; error statistics; intersymbol interference; least mean squares methods; maximum likelihood detection; maximum likelihood sequence estimation; receivers; BER; MIMO-OFDM system; MLSD receiver; PSP; Viterbi algorithm detection; adaptive maximum likelihood sequence detection; bit error rate; intersymbol interference; least mean square channel estimation; multiple input multiple output system; orthogonal frequency division multiplexing; persurvivor processing; Bit error rate; Channel estimation; Intersymbol interference; Maximum likelihood detection; Maximum likelihood estimation; OFDM modulation; Receiving antennas; Transmitting antennas; Viterbi algorithm; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location
Guilin
Print_ISBN
0-7803-9584-0
Electronic_ISBN
0-7803-9585-9
Type
conf
DOI
10.1109/ICCCAS.2006.284827
Filename
4064068
Link To Document