The Clutter Simulation of a Known Terrain by the 3D Parabolic Equation and RCS Computation

Ground clutter data are usually generated using a statistical model, but they cannot effectively reflect the spatial distribution characteristics of ground objects. It is important in practical projects to effectively predict ground clutter when terrain data are known. In this paper, a scheme of gro...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-09, Vol.22 (19), p.7452
Main Authors: Wang, Zhiyi, Ding, Jieru, Wang, Min, Yang, Shuyuan
Format: Article
Language:English
Subjects:
Antennas
Boundary conditions
Clutter
Communication
Cross sections (Nuclear physics)
Fourier transforms
ground clutter
Methods
parabolic equation
Propagation
Radar cross sections
Radar systems
Radio waves
RCS
Signal processing
Simulation
Spatial distribution
Statistical models
Terrain
Wave propagation
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Summary:Ground clutter data are usually generated using a statistical model, but they cannot effectively reflect the spatial distribution characteristics of ground objects. It is important in practical projects to effectively predict ground clutter when terrain data are known. In this paper, a scheme of ground clutter simulation based on the three-dimensional parabolic equation (3DPE) model is proposed. Radio wave propagation was modeled by the PE model and the spatial field distribution was solved. After the radar cross section (RCS) calculation based on space cells, the ground clutter information data were obtained. Then the radar echo was obtained and the clutter map was simulated. The simulation experimental results show that the ground clutter map simulated by the proposed method has a good reference value, meets the demand of strong clutter area prediction under known terrain conditions, and provides a theoretical basis for radar location and optimal deployment.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22197452