研究目的
To develop a real-time computational model for forward-looking GPR scattering from rough terrain located at great electrical distances from the GPR antenna, enabling fast and high fidelity detection of concealed explosive threats.
研究成果
The developed real-time computational model for forward-looking GPR scattering from rough terrain significantly reduces complexity and saves computation resources, allowing full wave modeling of random ground surface clutter. The model compares well with direct FDFD results and can be used for lossy and frequency-dispersive soils, enhancing weak buried target signals by subtracting the surface clutter effect in real time.
研究不足
The method's accuracy is limited by the Born approximation when surface variation from the nominal flat surface is large or the contrast between the electric permittivity of the soil and air is significant. The computational domain reduction and spectral windowing may also introduce errors.
1：Experimental Design and Method Selection:
The study employs a hybrid method combining 3-D Green's function analysis for background field calculation and high-accuracy FDFD for simulating deviations from an ideal planar ground surface.
2：Sample Selection and Data Sources:
The rough terrain is modeled with Gaussian random height distribution, and real rough surfaces are simulated using Kinect II 3-D sensing device.
3：List of Experimental Equipment and Materials:
The study uses a vehicle-mounted GPR detecting system with a
4：488 m transmitter/receiver array, Kinect II for surface imaging, and a supercomputer for FDFD calculations. Experimental Procedures and Operational Workflow:
The background field is calculated once and used for multiple rough surface cases. The FDFD calculation is restricted to a small subregion including the rough ground surface details. Fields are computed at a distant receiving antenna array using near-field to near-field transformation.
5：Data Analysis Methods:
The effectiveness of the algorithm is evaluated through 3-D Monte Carlo simulation for various rough surface parameters, comparing results with direct FDFD method.
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