Title :
Low-angle reflectivity modeling of land clutter
Author :
Feng, S. ; Chen, J.
Author_Institution :
Autom. Control Dept., Beijing Inst. of Technol., China
fDate :
4/1/2006 12:00:00 AM
Abstract :
In this letter, a practical mean reflectivity model of radar land clutter (LC) for the complex system design of ground-based radars involved in low-angle targets on some typical terrains is studied using the inductive reasoning method. The functional relationships between the radar parameters and radar surface clutter backscattering are analyzed. Following the recent research work in the area of reflectivity modeling of LC in the literature, the least squares method is employed to estimate the model parameters. The model is validated using reliable practical data and shown to outperform other models in accuracy.
Keywords :
least squares approximations; radar clutter; reflectivity; remote sensing by radar; terrain mapping; complex system design; ground based radar design; inductive reasoning; least squares method; low angle radar targets; low angle reflectivity; mean reflectivity model; radar land clutter modeling; radar surface clutter backscattering; Backscatter; Frequency; Parameter estimation; Polarization; Predictive models; Radar clutter; Radar scattering; Reflectivity; Rough surfaces; Surface roughness; Least squares (LS) methods; radar clutter; radar scattering; radar terrain factors;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2005.863847
