Polarization differences in airborne ground penetrating radar performance for landmine detection

The U.S. Army Research Laboratory (ARL) has investigated the ultra-wideband (UWB) radar technology for detection of landmines, improvised explosive devices and unexploded ordnance, for over two decades. This paper presents a phenomenological study of the radar signature of buried landmines in realistic environments and the performance of airborne synthetic aperture radar (SAR) in detecting these targets as a function of multiple parameters: polarization, depression angle, soil type and burial depth. The investigation is based on advanced computer models developed at ARL. The analysis includes both the signature of the targets of interest and the clutter produced by rough surface ground. Based on our numerical simulations, we conclude that low depression angles and H-H polarization offer the highest target-to-clutter ratio in the SAR images and therefore the best radar performance of all the scenarios investigated.

[1]  P. Beckmann,et al.  The scattering of electromagnetic waves from rough surfaces , 1963 .

[2]  B. Mandelbrot,et al.  Fractional Brownian Motions, Fractional Noises and Applications , 1968 .

[3]  F. Ulaby,et al.  Handbook of radar scattering statistics for terrain , 1989 .

[4]  Richard Tillman Austin,et al.  Electromagnetic wave scattering by power-law surfaces. , 1994 .

[5]  Allen Taflove,et al.  Computational Electrodynamics the Finite-Difference Time-Domain Method , 1995 .

[6]  Glenn S. Smith,et al.  A fully three-dimensional simulation of a ground-penetrating radar: FDTD theory compared with experiment , 1996, IEEE Trans. Geosci. Remote. Sens..

[7]  L. Carin,et al.  Ultra-wideband synthetic aperture radar for mine field detection , 1998, Ultra- Wideband Short-Pulse Electromagnetics 4 (IEEE Cat. No.98EX112).

[8]  L. Carin,et al.  Ultra-wide-band synthetic-aperture radar for mine-field detection , 1999 .

[9]  Chandra S. Throckmorton,et al.  Algorithms for land mine detection using the NIITEK ground penetrating radar , 2002, SPIE Defense + Commercial Sensing.

[10]  Steven S. Bishop,et al.  Processing of GPR data from NIITEK landmine detection system , 2003, SPIE Defense + Commercial Sensing.

[11]  E. Thorsos The Validity of the Kirchhoff Approximation for Rough Surface Scattering Using a Gaussian Roughness Spectrum , 2004 .

[12]  Lam H. Nguyen,et al.  3D SAR image formation for underground targets using ultra-wideband (UWB) radar , 2009, Defense + Commercial Sensing.

[13]  T. Dogaru,et al.  Full-Wave Characterization of Rough Terrain Surface Scattering for Forward-Looking Radar Applications , 2012, IEEE Transactions on Antennas and Propagation.

[14]  Mark A. Richards,et al.  Principles of Modern Radar: Basic Principles , 2013 .

[15]  T. Dogaru,et al.  Large-Scale, Full-Wave-Based Emulation of Step-Frequency Forward-Looking Radar Imaging in Rough Terrain Environments , 2014 .

[16]  J. Kong Scattering of Electromagnetic Waves , 2021, Principles of Scattering and Transport of Light.