Picture of athlete cycling

Open Access research with a real impact on health...

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 Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

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.