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A ray tracing approach to predicting indoor field distributions

Diki, D.V., Parker, Edward A., Langley, Richard J. (1998) A ray tracing approach to predicting indoor field distributions. In: Antennas and Propagation for Future Mobile Communications (Ref. No. 1998/219), IEE Colloquium, 23 Feb 1998, London, UK. (doi:10.1049/ic:19980135) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:38583)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1049/ic:19980135

Abstract

The last decade has seen an unprecedented growth in the use of mobile radio services both in the UK and overseas. This development has been aided by much research interest in the field of mobile telephony. The radio environment is unfortunately a complex and somewhat hostile one for application of broadband systems. The received signal typically arrives via many separate paths arising from reflections, diffraction, and scattering within the surrounding media. The area of mobile radio propagation modelling has been actively researched, providing many useful methods. This work can be broadly divided into two categories-simulation and predictive models. The simulation model initially assumes that there are measured data obtained from the environment. An attempt is then made to find a mathematical model which agrees with the measured data. This approach is very useful but it does have limitations. The model cannot easily be changed for different environments and involves further measurements. In this paper a ray tracing algorithm for the prediction of propagation characteristics in cordless applications is presented. It is suitable for the prediction of narrow-band indoor field distribution

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1049/ic:19980135
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Ted Parker
Date Deposited: 05 Mar 2014 16:40 UTC
Last Modified: 29 May 2019 11:56 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/38583 (The current URI for this page, for reference purposes)
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