NDLI: Enhanced Lee Model from Rough Terrain Sampling Data Aspect

Content Provider	IEEE Xplore Digital Library
Author	Lee, D.J.Y. Lee, W.C.Y.
Copyright Year	2010
Abstract	The Lee propagation prediction model has been well recognized by the wireless industry as one of the most accurate propagation prediction models. This paper discusses innovative approaches dealing with rough digital samples of terrain data and enhancements to the Lee model during the validation process. In general, the Lee model is composed of two parts, the impact of man-made structures and the impact of the natural terrain variation [1-6]. There are other papers discuss innovative algorithms on calculating effective antenna gain [7,8] and diffraction loss [7-9] as well as on enhancing the Lee model [12-14]. This paper focuses on the natural (terrain) factor. The new algorithm presented in this paper is quite different than others as it integrates both Line Of Site (LOS) and shadow loss calculation together for the Lee model. First, in the LOS scenario, it addresses the issue of big swing of effective antenna gain due to non-continuous terrain data. Second, in the non-LOS situation, the effective antenna gain is integrated with shadow loss. Both single knife edge and multiple knife edge scenarios are discussed. The new algorithm is developed based on the analysis of measured and predicted (the theoretical shadow loss and effective antenna gain) data. The new algorithm involves more calculation but it improves the accuracy of the predicted value. This algorithm was implemented and verified using field terrain and measurement data from a variety of different environments and different countries including Italy, US, Spain, Japan, South Korea, Taiwan and Romania.
Starting Page	1
Ending Page	5
File Size	485808
Page Count	5
File Format	PDF
ISBN	9781424435739
ISSN	10903038
DOI	10.1109/VETECF.2010.5594119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-06
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Antennas Mobile communication Gain Prediction algorithms Data models Reflection Antenna measurements
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in