dc.contributor.author	Sheethalnath, Praveen T.	en
dc.contributor.committeechair	Rappaport, Theodore S.	en
dc.contributor.committeemember	Woerner, Brian D.	en
dc.contributor.committeemember	Abbott, A. Lynn	en
dc.contributor.department	Electrical and Computer Engineering	en
dc.date.accessioned	2014-03-14T20:37:43Z	en
dc.date.adate	2001-05-22	en
dc.date.available	2014-03-14T20:37:43Z	en
dc.date.issued	2001-02-22	en
dc.date.rdate	2002-05-22	en
dc.date.sdate	2001-05-20	en
dc.description.abstract	This thesis addresses various aspects related to site-specific propagation prediction using ray tracing techniques. Propagation prediction based on ray tracing techniques requires that all the different physical objects, which affect the propagation of radio waves, be modeled. The first part of the thesis concentrates on modeling the buildings and the terrain for the above-mentioned application. A survey of the various geographic products that are available to model the environment is presented. The different methods used to model the terrain are analyzed and the most suitable method for a ray based application is suggested. A method to model the buildings in an environment from commercially available data is described. A novel method to combine the building information with the terrain information is presented. An in depth discussion of deterministic propagation prediction using ray tracing is presented in the latter half of the thesis. An overview of the various ray based algorithms that exists in the literature are presented and the limitations and the computational complexity of ray based methods are discussed. All ray based algorithms model the receivers as point objects and predict the propagation characteristics at a particular point in space. However, to optimize the design of a wireless broadcast or a point to multi point system such as a Wireless LAN (WLAN) or a cellular system, propagation characteristics at multiple points in space need to be known. The standard ray tracing algorithms can be notoriously time consuming when used to predict the characteristics of multiple receivers. A new, computationally less intensive algorithm to predict the propagation characteristics of multiple receivers is described. This algorithm significantly reduces the computation time by using "grid mode" predictions for broadcast channels.	en
dc.description.degree	Master of Science	en
dc.identifier.other	etd-05202001-193434	en
dc.identifier.sourceurl	http://scholar.lib.vt.edu/theses/available/etd-05202001-193434/	en
dc.identifier.uri	http://hdl.handle.net/10919/33016	en
dc.publisher	Virginia Tech	en
dc.relation.haspart	02Acknowledgements.pdf	en
dc.relation.haspart	01coverpage.pdf	en
dc.relation.haspart	05Vita.pdf	en
dc.relation.haspart	04thesisver4.pdf	en
dc.relation.haspart	03Abstract.pdf	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	ray tracing	en
dc.subject	Site-specific prediction	en
dc.subject	Propagation	en
dc.title	Novel Site-Specific Techniques for Predicting Radio Wave Propagation	en
dc.type	Thesis	en
thesis.degree.discipline	Electrical and Computer Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	masters	en
thesis.degree.name	Master of Science	en

Novel Site-Specific Techniques for Predicting Radio Wave Propagation

Files

Original bundle

Collections