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Experimental Evaluation of Channel Estimation and Equalisation in Non-Orthogonal FDM Systems

Lookup NU author(s): Dr Paul HaighORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2018.

For re-use rights please refer to the publisher's terms and conditions.


© 2018 IEEE. This paper describes the design and implementation of an experimental system created to evaluate the performance of channel estimation and equalisation for spectrally efficient frequency division multiplexing (SEFDM) systems in which higher spectral efficiency compared to conventional orthogonal frequency division multiplexing (OFDM) is achieved by violating the orthogonality of its subcarriers. This work proposes a new frequency-domain channel estimation and equalisation method, then investigates the employment of both OFDM and SEFDM pilot symbols for channel estimation to find channel state information (CSI). It is experimentally shown that the new method offers a reduction in the computational complexity compared to conventional time-domain estimation and equalisation for SEFDM systems with a similar system performance. The design of the baseband signal generation and signal detection using IFFT and FFT structure implemented using LabVIEW communication design suite is described in detail together with the baseband design of the system used to effect signal synchronisation and channel estimation and equalisation.

Publication metadata

Author(s): Ozan W, Ghannam H, Xu T, Haigh PA, Darwazeh I

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP)

Year of Conference: 2018

Online publication date: 27/09/2018

Acceptance date: 02/04/2018

Date deposited: 13/03/2019

Publisher: IEEE


DOI: 10.1109/CSNDSP.2018.8471885

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538613351