DocumentCode :
2506951
Title :
Scaled Matched Filter Based Iterative Receiver for Coded MIMO-OFDM Systems
Author :
Lin, Wenfeng ; He, Chen
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
3953
Lastpage :
3957
Abstract :
In this paper, we propose a reduced complexity iterative receiver for coded multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. We apply the matched filter (MF) in the proposed scheme, which is a popular alternative to the minimum mean square error (MMSE) detector due to its lower computational complexity. We improve the well studied MF-based iterative MIMO soft-detector by scaling the value of the a priori information from a soft-in soft-out (SISO) channel decoder. The scaling factor is optimized according to the extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed MF- based iterative receiver significantly outperforms the conventional one with little additional cost in computational complexity and achieves bit error rate (BER) performance comparable to that of the MMSE-based iterative receiver with much lower complexity.
Keywords :
MIMO communication; channel coding; computational complexity; error statistics; iterative decoding; least mean squares methods; matched filters; modulation coding; radio receivers; BER; EXIT; MMSE; SISO; bit error rate; coded MIMO-OFDM systems; coded multiple-input multiple-output systems; computational complexity; extrinsic information transfer; iterative receiver; minimum mean square error detector; orthogonal frequency division multiplexing; scaled matched filter; scaling factor; soft-in soft-out channel decoder; Bit error rate; Computational complexity; Computational efficiency; Computational modeling; Detectors; Iterative decoding; MIMO; Matched filters; Mean square error methods; OFDM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.751
Filename :
4411661
Link To Document :
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