DocumentCode
2627216
Title
Common RF environment algorithms for radar analysis: joint bottom up development based on legacy models
Author
Langenderfer, John C. ; Ehret, Robert A.
Author_Institution
Sci. Applic. Int. Corp., Beavercreek, OH, USA
fYear
1998
fDate
13-17 Jul 1998
Firstpage
329
Lastpage
338
Abstract
Common RF environment components are needed to reduce duplicative efforts, provide consistent results as well as provide the legacy for the next generation of RF modeling systems. The components are based on algorithms which have been proven formally and informally over many years by the professional judgement of skilled analysts. The algorithms have provided the core environment modeling and simulation support to many acquisition and operational programs DOD wide through their use in the Advanced Low Altitude Radar Model (ALARM), the Enhanced Surface-to-Air Missile Simulation (ESAMS), and the Radar Guided Guns Simulation (RADGUNS). Algorithms ape grouped into the following components based on their functionality: antenna, clutter, propagation (atmospheric attenuation, diffraction, refraction, and multipath), and terrain
Keywords
antenna radiation patterns; atmospheric electromagnetic wave propagation; military computing; military radar; radar clutter; radar signal processing; radiowave propagation; telecommunication computing; DOD; RF modeling; advanced low altitude radar model; common RF environment algorithms; core environment modeling; enhanced surface-to-air missile simulation; legacy models; radar analysis; radar guided guns simulation; simulation support; Algorithm design and analysis; Antenna accessories; Antennas and propagation; Atmospheric modeling; Clutter; Guns; Missiles; Radar antennas; Radio frequency; US Department of Defense;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National
Conference_Location
Dayton, OH
ISSN
0547-3578
Print_ISBN
0-7803-4449-9
Type
conf
DOI
10.1109/NAECON.1998.710134
Filename
710134
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