We present an analysis of the use of thermal neutron analysis (TNA) to confirm the presence of energetic materials in unexploded ordnance detection. Our analysis is based on the performance of a prototype built by ANCORE and tested at Socorro, NM, and at Yuma, AZ, as part of the Environmental Security Technology Certification Program (ESTCP). From that data, we were able to develop a semi-empirical model for the expected signal strength as a function of the target's nitrogen content and depth. We found that the dependence on depth differs greatly between the two sites. We expect this simple model to be useful in future assessments of the feasibility of this approach. We also determine the Pd/PFA performance of the system at the two sites and found it to correspond to a signal-to-noise ratio of order unity. We estimate that an increase in signal-to-noise of roughly three will be necessary to extent the applicability of this technology in unexploded ordnance detection. Such improvements may be possible if the NaI detectors currently employed are replaced with high purity germanium (HPGe) detectors.
Prompt gamma neutron activation analysis (PGNAA) has been proposed for confirming the presence of energetic materials as part of a mine or unexploded ordnance detection system. Ancore Corporation (previously SAIC Advanced Nucleonics Division), funded through Night Vision Electro Sciences Directorate by Environmental Security Test Certification Program, has carried out proof-of-concept demonstrations of PGNAA in this confirmatory role at Socorro, NM, and Yuma, AZ. In this, the first part of a two-part paper addressing the use of PGNAA in the detection of surface and near-surface UXO, we explore the phenomenology of PGNAA signals from surface or near-surface ordnance in soil to gain insight into the results of those demonstrations. PGNAA uses the high-energy gamma ray (10.8 MeV) from capture on N14 as a signature of the presence of nitrogen. This is one of the highest energy gamma rays resulting from neutron capture, and nitrogen is a major constituent of explosives, but a small portion of soil. Thus, PGNAA might be effective at confirming the presence of explosives. The phenomenology of dry soil is dominated by the two most common elements, oxygen and silicon. Neutrons injected into the soil elastically scatter from nuclei (predominantly oxygen), losing energy and propagating in a random walk fashion. Once slowed, neutron capture on soil elements produces a broad gamma-ray spectrum. Capture on Si29 produces a 10.6 MeV gamma, which is not resolvable from the nitrogen signal of interest using scintillation detectors. Thus, PGNAA will need either good resolution detectors, or robust background subtraction to estimate the silicon contribution. For any system unable to resolve the Si29 (10.6 MeV) and N14(10.8 MeV) gammas there is an inherently low signal to background, resulting primarily from the silicon in the soil. After background subtraction, there remains a challenging signal to noise level, where the noise is partly due to counting statistics and partly due to the modeling of the subtracted background.
Preliminary analysis has shown that accurate mine simulants are not available for metallic and non-metallic mine detectors; there is a need for a precise mine simulant. This paper contains the methodology for the development of a fuze simulant to replace the fuze in a real mine. Conclusions shall discuss the feasibility of an accurate fuze simulant. Mine detectors have been proven worthy by testing its capability to detect simulants or real mines without the fuze. Different detectors perceive changes in different properties of the mine; unfortunately, one simulant which reflects every property of the mine is not available. Another approach is to bury real mines, but for safety concerns, bury the mine without the fuze. This target still does not represent a real mine, especially for a metal detector. Many non-metallic mines contain a considerably quantity of metal in the fuze in comparison to the rest of the body of the mine; therefore, the absence of the fuze results in the absence of a significant amount of metal. The NVESD Countermine Division with the Energetic Materials Research Test Center of Socorro, NM, is developing a fuze simulant which more accurately represents the quantity of metal in a real time. They are investigating the contents of the fuze; this will be followed by fabrication and testing using infrared, ground penetrating radar, and metal detectors. The paper contains the methodology for the development of the fuze and discussions with respect to the benefits to mine detection.
Preliminary results have shown that cross polarization enhances mine detection capabilities. This paper contains data from experimental and simulated testing, analysis of the data, and conclusions on effects of polarization techniques for mine detection. Cross polarization of the transmit and receive antennas significantly diminishes the surface reflection integrated at the receive antenna. The angle of the transmit and receive antennas in a cross polarization configuration is inherently 90 degrees; at different azimuth angles, a contrast in the backscattered energy from a mine and from the air/ground interface above the mine has been observed. To further understand this phenomenon, Kaman Sciences has configured a bistatic, dipole, impulse system operating at 2.5 GHz center frequency. The transmitter and receiver are positioned at specific down-looking angles to the ground. The receiver is stepped around the azimuth of the transmitter for co- and cross-polarizations. The Kaman Sciences system and experimental data collection will be discussed in the paper. Specifically, Kaman Sciences collected data with both metallic and nonmetallic mine simulants or targets. The targets were placed on the surface and buried 2 inches in 3 different types of soils: sand, sand mixed with gravel, and loam-rich top soil. Free space measurements of mines were modelled using a method of moments code that was specifically modified to account for the ultra wideband nature of the transmitter waveform. The resulting data was analyzed for the optimum polarization angle according to the target and compared with experimental results. The paper will contain the experimental and model data, results, and conclusions with respect to the benefits to mine detection.
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