DocumentCode :
3522476
Title :
Lattice reduction aided MMSE-SIC detection for non-orthogonal frequency division multiplexing signals
Author :
Sun, Peng ; Yang, Xing ; Li, Daoben
Author_Institution :
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
25-27 Aug. 2008
Firstpage :
527
Lastpage :
532
Abstract :
A lattice reduction aided MMSE detection combined with successive interference cancellation (SIC) scheme is proposed in this paper to suppress the noise amplification in the commonly used MMSE detection of non-orthogonal frequency division multiplexing (NFDM) signals. By adopting Lenstra-Lenstra-Lovasz (LLL) algorithm to reduce condition number of the nearly singular modulation matrix in NFDM, the new scheme improves bit error rate (BER) performance of MMSE detection as expected. Another advantage of the new scheme is that lattice reduction adds very little complexity to on line decoding of NFDM signals in AWGN channels because the reduction part of it could be done beforehand. Simulations show that complexity of the new scheme is much lower than the recently proposed decoding algorithm of randomized rounding semidefinite relaxation (SDR) in NFDM system, while more competitively, the BER performance of the new decoding scheme outruns direct randomized rounding SDR in high signal to noise ratio (SNR) when the frequency span is small or the number of sub-carriers is large.
Keywords :
computational complexity; decoding; error statistics; frequency division multiplexing; interference suppression; least mean squares methods; matrix algebra; signal detection; AWGN channels; BER performance; Lenstra-Lenstra-Lovasz algorithm; bit error rate performance; decoding algorithm; lattice reduction aided MMSE-SIC detection; modulation matrix; noise amplification; non-orthogonal frequency division multiplexing signals; randomized rounding semidefinite relaxation; signal-to-noise ratio; successive interference cancellation scheme; Additive white noise; Bit error rate; Decoding; Frequency division multiplexing; Gaussian noise; Interference cancellation; Lattices; Noise reduction; Signal to noise ratio; Silicon carbide;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2373-6
Electronic_ISBN :
978-1-4244-2374-3
Type :
conf
DOI :
10.1109/CHINACOM.2008.4685081
Filename :
4685081
Link To Document :
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