Quantifying the effects of different rough surface statistics for mine detection using the FDTD technique

Magda El-Shenawee; Carey M. Rappaport

doi:10.1117/12.396180

22 August 2000 Quantifying the effects of different rough surface statistics for mine detection using the FDTD technique

Magda El-Shenawee, Carey M. Rappaport

Author Affiliations +

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396180
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The finite difference time domain technique, FDTD, is used to calculate the scattered field din the n era zone from 1D random rough surfaces. Different statistics for the random surface will be assumed in this work. First, the random rough surface will be characterized by one-scale roughness with Gaussian distribution for the heights and Gaussian auto-correlation function. In the second part, the surface will be assumed to have two-scale roughness with the same Gaussian statistics as before. The statistics of the scattered fields are calculated in this work using Monte Carlo simulations. Numerical results comparing scattered fields from one-scale roughness and two-scale roughness are shown. The results obtained indicate that the distortion in the scattered signals is primarily due to the small-scale roughness while the two-scale roughness causes more time delay In the scattered signals. Different rough surface parameters will be used to quantify their effect on the statistics of scattered signals.

Citation Download Citation

Magda El-Shenawee and Carey M. Rappaport "Quantifying the effects of different rough surface statistics for mine detection using the FDTD technique", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396180

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