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Soft-feedback MMSE equalization for non-orthogonal frequency division multiplexing (n-OFDM) signal detection

Ahmad, Norulhusna and Syed Yusof, Sharifah Kamilah and Fisal, Norsheila and Anwar, K. and Matsumoto, T. (2012) Soft-feedback MMSE equalization for non-orthogonal frequency division multiplexing (n-OFDM) signal detection. In: 2012 16th International ITG Workshop on Smart Antennas, WSA 2012. IEEE, New York, USA, pp. 248-255. ISBN 978-145771924-0

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Official URL: http://dx.doi.org/10.1109/WSA.2012.6181215


A frequency division multiplexing technique, nonorthogonal frequency division multiplexing (n-OFDM), is proposed in [1]- [2] to enhance the efficiency of bandwidth utilization. This paper reveals that the smaller the frequency separation, the larger sum capacity can be achieved compared with the conventional OFDM technique. However, n-OFDM system introduces inter-carrier interference (ICI) at the transmitter because the orthogonality between the subcarriers no longer holds. Moreover, since the channel covariance matrix of n-OFDM has high condition number when the overlapping factor, 1 - a, is large, conventional linear detectors suffers from severe noise enhancement. To solve this problem, this paper proposes the use of soft cancellation- minimum mean-squared error (SCMMSE) turbo equalization. Binary constellation constrained mutual information (CCMI) is calculated by utilizing the area property for the EXtrinsic Information Transfer (EXIT) chart of the SC-MMSE equalizer. Results of the EXIT chart analysis and bit-error-rate (BER) simulations in additive white Gaussian noise (AWGN) channel are presented.

Item Type:Book Section
Additional Information:Indexed by Scopus
Uncontrolled Keywords:additive white gaussian noise channel, band-width utilization, condition numbers, EXIT chart analysis
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Razak School of Engineering and Advanced Technology
ID Code:35915
Deposited By: Fazli Masari
Deposited On:04 Dec 2013 01:06
Last Modified:02 Feb 2017 04:55

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