| Acronym: e-DRET |
| Main Objective: Although the research team has made several contributions to the understanding of important aspects related to the propagation of radiowaves through vegetation, the main contribution of this proposal will be devoted to the enhanced formulation, test and validation of the dRET model using deconvolution techniques to optimise its input parameter extraction method. Results obtained in previous research projects by the project team [1, 2, 3], suggest several possible avenues for extension of knowledge in the pursuit of further developments in modelling of radiowave propagation through vegetation media. From these avenues, one significant path can be followed: the refinement of the parameter extraction method. An important source of inaccuracy exhibited by the existing dRET modelling, is due to inaccuracies in the input parameter extraction procedures. Although the model seems to perform relatively well under a range of different situations, a better performance may be obtained. To this extent, the parameter extraction method needs to be further refined in order to provide a more accurate and reliable input parameters to the propagation model. One source of inaccuracy of the propagation parameter extraction method, is supposed to arise from the distortion effect caused by non ideal characteristics of the receiver antenna employed during the parameter measurement phase. It is expected, that deconvolution methods will significantly mitigate such distortion, consequently leading to more accurate vegetation propagation parameters reading. Furthermore, by utilising the corrected propagation parameters, as input to the existing dRET model, the research team foresees an improvement leap into the quality of the received signal prediction values. References: [1] ''Radio charaterisation of single trees at micro- and millimetre wave frequencies”, Ph.D Thesis, R.F.S. Caldeirinha, University of Glamorgan, UK, April, 2001; [2] ''A discrete RET Model for Micro- and Millimetre Wave Propagation through Vegetation'', Ph.D Thesis, T.R. Fernandes, University of Glamorgan, June, 2007. [3] ''Extraction of input parameters for the theory of Radiative Energy Transfer using deconvolution'', Ph.D Thesis, H. Cui, University of Glamorgan, April, 2009. |
| Reference: RMO/CO/FE2009/eDRET |
| Funding: IT/LA |
| Start Date: 01-07-2009 |
| End Date: 01-06-2010 |
| Team: Rafael Ferreira da Silva Caldeirinha, Telmo Rui Carvalhinho Cunha Fernandes, Huajian Cui |
| Groups: Antennas and Propagation – Lr |
| Partners: |
| Local Coordinator: Rafael Ferreira da Silva Caldeirinha |
| Links: Internal Page |
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Associated Publications
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