DocumentCode :
1596006
Title :
Nonlinear Modeling and Simulation of Radar Clutter
Author :
Xu-ming, Wang ; Jin-yan, Cai ; Ben, Zhang
Author_Institution :
Opt. & Electron. Dept., Ordnance Eng. Coll., Shijiazhuang, China
Volume :
3
fYear :
2010
Firstpage :
421
Lastpage :
424
Abstract :
Radar tracking and detection are always interfaced by unwanted clutter, so the research on clutter has significant meaning to the improvement of detection and tracking performance. Modeling and simulation is an important approach to study the clutter, and helpful to the development of detection theory and design of optimal detector. This paper introduces the research trend on radar clutter modeling and simulation, mainly discusses the nonlinear modeling and simulating method based on chaos theory and fractal theory, introduces the phase reconstruction of radar clutter, the application of radial basis function neural network and the support vector machine.
Keywords :
chaos; fractals; neural nets; radar clutter; radar detection; radar tracking; radial basis function networks; support vector machines; chaos theory; fractal theory; nonlinear modeling; optimal detector; phase reconstruction; radar clutter; radar detection; radar tracking; radial basis function neural network; support vector machine; Chaos; Computational modeling; Computer simulation; Electromagnetic scattering; Optical scattering; Radar clutter; Radar detection; Radar scattering; Radar tracking; Rayleigh scattering; chaos; clutter; modelling; neutral network; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
Type :
conf
DOI :
10.1109/ICCMS.2010.458
Filename :
5421257
Link To Document :
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