Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34053
Title: Longley-Rice model prediction inaccuracies in the UHF and VHF TV bands in mountainous terrain
Authors: Kasampalis, Stylianos
Lazaridis, Pavlos I
Zaharis, Zaharias D
Bizopoulos, Aristotelis
Paunovska, Lidija
Zettas, Spiridon
Glover, Ian A
Drogoudis, Dimitrios
Cosmas, John
Keywords: Deygout;Epstein-Peterson;Fresnel;Giovaneli;ITM;knife-edge;Longley-Rice;NTIA-ITS;SRTM;Vogler
Issue Date: 17-Jun-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Kasampalis, S. et al. (2015) 'Longley-Rice model prediction inaccuracies in the UHF and VHF TV bands in mountainous terrain', 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Ghent, Belgium, 17–19 June. pp. 1–5. doi: 10.1109/bmsb.2015.7177272.
Abstract: Coverage prediction is of prime importance for TV broadcasting. A classic model used for TV coverage prediction is the Longley-Rice ITM (Irregular Terrain Model). Other well-known multiple knife-edge diffraction models are the Epstein-Peterson, Deygout, and Giovaneli methods. In this paper, comparisons are presented between accurate field-strength measurements, taken by a Rohde & Schwarz FSH-3 portable spectrum analyzer using precision calibrated antennas and calculated results from the Longley-Rice model, and the multiple knife-edge models in conjunction with the 3-arc-second SRTM (Satellite Radar Topography Mission) terrain data. Calculations are limited to the main 2 knife-edges of the propagation path. The Longley-Rice model predicts received field strength accurately in most cases even in mountainous terrain with multiple diffracting obstacles in the VHF and UHF TV Bands. However, in some long distance fringe reception areas field-strength is underestimated by the Longley-Rice model, while it is accurately calculated by the multiple knife-edge diffraction models.
URI: https://bura.brunel.ac.uk/handle/2438/34053
DOI: https://doi.org/10.1109/bmsb.2015.7177272
ISBN: 9781479958658
ISSN: 2155-5044
Appears in Collections:Department of Electronic and Electrical Engineering Research Papers

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