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A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal

Kanaras, Ioannis and Chorti, Arsenia and Rodrigues, MRD and Darwazeh, Izzat (2008) A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal. In: 2008 5th International Conference on Broadband Communications, Networks and Systems (BROADNETS), 2008-09-08 - 2008-09-11.

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Abstract

In this paper, we investigate the possibility of reliable and computationally efficient detection for spectrally efficient non-orthogonal Multiplexing (FDM) system, exhibiting varying levels of intercarrier interference. Optimum detection is based on the Maximum Likelihood (ML) principle. However, ML is impractical due to its computational complexity. On the other hand, linear detection techniques such as Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) exhibit poor performance. Consequently, we explore the combination of MMSE estimation with ML estimation around a neighborhood of the MMSE estimate. We evaluate the performance of the different schemes in Additive White Gaussian Noise (AWGN), with reference to the number of FDM carriers and their frequency separation. The combined MMSE-ML scheme achieves a near optimum error performance with polynomial complexity for a small number of BPSK FDM carriers. For QPSK modulation the performance of the proposed system improves for a large number of ML comparisons. In all cases, the detectability of the FDM signal is bounded by the signal dimension and the carriers frequency distance.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 5th International Conference on Broadband Communications, Networks, and Systems, BROADNETS 2008
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 15 Jul 2015 20:13
Last Modified: 23 Sep 2022 18:41
URI: http://repository.essex.ac.uk/id/eprint/9134

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