Comparison of Longley-Rice, ITU-R P.1546 and Hata-Davidson propagation models for DVB-T coverage prediction

Stylianos Kasampalis, Pavlos I. Lazaridis, Zaharias D. Zaharis, Aristotelis Bizopoulos, Spyridon Zettas, John Cosmas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

This paper compares precision field-strength measurements taken by a Rohde & Schwarz FSH-3 portable spectrum analyzer with simulation results derived from the ITM coverage prediction model (Irregular Terrain Model), also known as NTIA-ITS Longley-Rice model, in conjunction with the 3-arc-second SRTM (Satellite Radar Topography Mission) geographical data, the propagation predictions of ITU-R Recommendation P. 1546 and those of the empirical Hata-Davidson model using HAAT. ITU-R P. 1546 and Hata-Davidson models exhibit higher errors at longer distances and therefore necessary corrections should be introduced in the models in order to increase propagation prediction accuracy. Especially, measurements results show that ITU-R P.1546, on average, underestimates the field strength at distances longer than 50 km. The Longley-Rice model using the terrain digital elevations is more accurate, as expected, and its results are closer to the measurement data.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014
PublisherIEEE Computer Society
ISBN (Print)9781479916542
DOIs
Publication statusPublished - 2014
EventIEEE International Symposium on Broadband Multimedia Systems and Broadcasting - Beijing, China
Duration: 25 Jun 201427 Jun 2014

Conference

ConferenceIEEE International Symposium on Broadband Multimedia Systems and Broadcasting
Abbreviated titleBMSB 2014
CountryChina
CityBeijing
Period25/06/1427/06/14

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Kasampalis, S., Lazaridis, P. I., Zaharis, Z. D., Bizopoulos, A., Zettas, S., & Cosmas, J. (2014). Comparison of Longley-Rice, ITU-R P.1546 and Hata-Davidson propagation models for DVB-T coverage prediction. In 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014 [6873518] IEEE Computer Society. https://doi.org/10.1109/BMSB.2014.6873518