Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Comparison of different filter-bank based multicarrier systems with fractionally spaced equalisation

Nagy, Amr A. and Weiss, Stephan (2016) Comparison of different filter-bank based multicarrier systems with fractionally spaced equalisation. In: 11th IMA International Conference on Mathematics in Signal Processing. Institute of Mathematics and its Applications, Southend-on-sea, pp. 1-4.

[img]
Preview
Text (Nagy-Weiss-IMAMSP2016-Comparison-of-different-filter-bank-based-multicarrier-systems)
Nagy_Weiss_IMAMSP2016_Comparison_of_different_filter_bank_based_multicarrier_systems.pdf - Accepted Author Manuscript

Download (94kB) | Preview

Abstract

This paper compares two different filter bank multi carrier (FBMC) modulations: a critically sampled and therefore spectral maximally efficient FBMC orthogonal quadrature amplitude modulation (OQAM) approach, as well as an over sampled (OS)-FBMC system. Under a dispersive channel, FBMC/OQAM and OS-FBMC require equalisation and timing synchronisation, which here is accomplished by a fractionally spaced equaliser updated by a concurrent constant modulus and decision-directed algorithm. Simulation demonstrate that FBMC/OQAM is more difficult to equalise particularly at lower SNR, since its additional CCI terms amplify the equalisation algorithm’s gradient noise.