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18 October 2001 GSTAMIDS ground-penetrating radar: data processing algorithms
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The Ground Standoff Mine Detection System is now in the Engineering, Manufacturing and Development (EMD) Block 0 phase for USA CECOM. This paper describes the data processing algorithms for the GPR that are used to extract the features used for anti-tank (AT) mine detection; those used for pre-processing the data re included herein to show the enhancement of the mine signals. A key feature of the processing is the acquisition of a clean radar return signal from undisturbed soil, which is then deconvolved from each data frame waveform. This soil signal is an estimate of the system impulse response function, save for the magnitude of the reflection coefficient of the soil, which is a scalar to first order. Deconvolution thus gives the impulse response function of the buried mines, a strong enhancement over their raw measured signals. A matched filter test statistic is generated to discriminate between mines and background. Discrimination algorithms using hidden Markov model processing are describe in a paper by PD Gader et al. These processes were developed in MATLAB using dat files acquired and stored from prototype GPR systems and then refined with data form production units. The MATLAB code is then converted into C code for use on the real-time processor on GSTAMIDS. The C code modules are run as dynamic library links in MATLAB for verification. The GPR sensor suite hardware and its physical incorporation into the GSTAMIDS sensor modules are described fully in a companion paper.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary D. Sower, Roger Kilgore, and Jaime R. Roman "GSTAMIDS ground-penetrating radar: data processing algorithms", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001);

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