Analyzing and Modeling of Geo Spatial Effect on Radio Wave Propagation System Using Geospatial Technologies
- 1 Department of Joint Military Staff College, Defense University, Mekelle, Ethiopia
- 2 Department of Geography and Environmental Studies, Mekelle University, Mekelle, Ethiopia
Abstract
The research presented in this thesis reveals the level of rightness of the recurrence Prediction systems by correlated with geospatial effect. The Geospatial technology elements split up: Geographic Information System (GIS), Remote Sensing (RS) and Global Positioning System (GPS) consolidated into this technique in light of the fact that the vast majority of the components in radio wave propagation are geographic highlights. In this exploration, ICEPAC remote arranging programming is tried in a field test completed in Tigray and Afar district. The consequence show that, the Prediction programming doesn’t put, day by day, regular and month to month topographical marvels into thought. Moreover, it doesn’t demonstrate the correct area of the radio stations. Furthermore, the new proposed ICEPAC Calibration algorithm anticipates a good Signal quality for frequencies in the vicinity of 1.5 MHz up to 30 MHz. The total result showed that Geographical Information Systems (GIS) are getting to be noticeably valuable apparatuses in accumulation, stockpiling, control and portrayal of Geo spatial information and also the RS and GIS situated Signal quality forecast can essentially enhance forecast quality contrasted with the hypothetical free space demonstration which does not consider any Geo spatial and neighborhood landscape highlights impacts.
- Anti Reddy, A.M. and Reddy, K.M. (1996) Performance Analysis of IRS Bands for Land Use/Land Cover Classification System Using Maximum Likelihood Classifier. International Journal of Remote Sensing, 17, 2505-2515. https://doi.org/10.1080/01431169608949089
- Jordan, M. and Chong, A. (2002) UK Planning Model for Digital Terrestrial Radio vision Coverage. IBC 99, Conference Publication, 393-398.
- Rappaport, T.S. (1996) Wireless Communications, Principles and Practices. Prentice Hall, PTR Upper Saddle River, New Jersey, 260.
- Naveenchandra, B.K.N., Lokesh, U. and Gangadhara, B.H. (2009) Importance of Geology and Soil Survey for Mobile Communication Site Planning Using RS/GIS. International Journal of Earth Sciences and Engineering, 3, 16-26.
- Neskovic, A., Neskovic, N. and Paunovic, G. (2000) Modern Approaches in Modeling of Radio Systems Propagation Environment. IEEE Communications Surveys & Tutorials, 3, 2-12.
- Lee, W. (1982) Radio Communications Engineering. McGraw-Hill Inc., New York.
- Stewart, F.G. (2008) Ionospheric Communications Enhanced Profile Analysis & Circuit (ICEPAC) Prediction Program, Technical Manual. http://elbert.its.bldrdoc.gov/pc?hf/hfwin32.html
- Lane, G. (2005) Review of High Frequency Ionospheric Communications Enhanced Profile Analysis & Circuit (ICEPAC) Prediction Program. Ionospheric Effects Symposium, Alexandria, 261-1-261-8.
- Seybold, J.S. (2005) Introduction to RF Propagation. John Wiley and Sons, Hoboken.
- Rubinstein, T. (1998) Clutter Losses and Environmental Noise Characteristics Associated with Various LULC Categories. IEEE Transactions on Broadcasting, 44, 286-293.
- Bullington, K. (1947) Radio Propagation at Frequencies above 30 Megacycles. Proceedings of the Institute of Radio Engineers, 35, 1122-1136. https://doi.org/10.1109/JRPROC.1947.232600