DocumentCode :
2066977
Title :
Land backscattering model for millimeter wave radar
Author :
Kulemin, G.P. ; Goroshko, E.A. ; Tarnavsky, E.V.
Author_Institution :
Inst. for Radiophys. & Electron., Nat. Acad. of Sci. of Ukraine, Kharkov, Ukraine
fYear :
2004
fDate :
28-28 Feb. 2004
Firstpage :
138
Lastpage :
141
Abstract :
The main computation relations for determination of MMW radar land clutter statistical characteristics are analyzed. Expressions for normalized RCS determination of different surface types and polarization features of backscattering signals are discussed. Spatial and temporal statistical characteristics of the quadrature components and the amplitudes of scattered signals are analyzed. It is shown that the amplitude pdf is approximated by the Weibull´s law and the distribution of quadrature components is described by the compound Gaussian law. The spatial distributions for different terrain types are presented. As a result, the algorithms for radar clutter modeling at millimeter band of radiowaves are obtained taking into consideration the spatial statistics of natural land surface.
Keywords :
Gaussian distribution; Weibull distribution; backscatter; radar clutter; spatiotemporal phenomena; MMW radar land clutter statistical characteristics; Weibull distribution; backscattering signals; compound Gaussian law; computation relation; land backscattering model; millimeter wave radar; natural land surface; polarization features; quadrature components; radar clutter modeling; radiowave; scattered signal amplitude; spatial distributions; spatial statistical characteristics; temporal statistical characteristics; Backscatter; Frequency; Land surface; Millimeter wave radar; Radar clutter; Radar cross section; Radar scattering; Rough surfaces; Surface roughness; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2004. Proceedings of the International Conference
Conference_Location :
Lviv-Slavsko, Ukraine
Print_ISBN :
966-553-380-0
Type :
conf
Filename :
1365897
Link To Document :
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