Paper
19 May 2005 Passive ground moving target indication (PGMTI)
Author Affiliations +
Abstract
The Passive Ground Moving Target Indication (PGMTI) program was a demonstration of the feasibility of autonomously detecting and tracking moving targets on the ground in real-time. Several scenarios were coordinated with ground vehicles and personnel so that the performance capabilities as well as any limitations of the system could be demonstrated. The objectives of the program were to demonstrate the following for the PGMTI system: 1.Process data in real time *PMTD Algorithm *High Pass Spatial Filter *Tracker, Declaration Logic and Data Logger 2.Meet performance metrics *Probability of Detection; PD >= 80% *Probability of False Detection; PFD <= 0.02% *Probability of Track; PT >= 90% *Probability of False Track; PFT <= 0.01% DRA used two different sensors to demonstrate the PGMTI performance; a near-IR and a mid-IR sensor. The near-IR system operated in real-time, and the mid-IR system was non-real-time. The approach to demonstrate the performance of the PGMTI system was to perform the following two tasks for each planned scenario containing the ground moving targets: 1)Collect the real-time processed data, from the near-IR sensor, which consists of the sensor data and a track file containing data on all tracks established by the system, and to analyze the results on the ground. 2)Collect raw data from the mid-IR sensor, post-process this data, and analyze results to determine performance. The analysis showed that all objectives were met provided there was at least 5% contrast between the ground moving target and its background. The PGMTI system concept demonstrated excellent performance and continued development is warranted.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenneth R. Selz, James Utt, Michael Deschenes, and John McCalmont "Passive ground moving target indication (PGMTI)", Proc. SPIE 5810, Acquisition, Tracking, and Pointing XIX, (19 May 2005); https://doi.org/10.1117/12.602906
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KEYWORDS
Sensors

Target detection

Mid-IR

Detection and tracking algorithms

Data processing

Logic

Detector arrays

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