Performance model incorporating weather-related constraints for fields of unattended ground sensors

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    1 Scopus citations

    Abstract

    Tactical sensing on the battlefield involves real-time information processing of acoustic, seismic, electromagnetic, and environmental sensor data to obtain and exploit an automated situational awareness. The value-added of tactical sensing is to give the war-fighter real-time situational information without requiring human interpretation of the underlying scientific data. For example, acoustic, seismic, and magnetic signatures of a ground vehicle can be used in a pattern recognition algorithm to identify a tank, truck, or TEL, but all the war-fighter wants to know is how many of each vehicle type are present and which way are they going. However, the confidences of this automated information processing are dependent on environmental conditions and background interference. A key feature of tactical ground sensing is the ability to integrate objective statistical confidences into the process to intelligently suppress false alarms, thus allowing the war-fighter to concentrate on war fighting. This paper presents how the situation confidence metric is generated starting with the sensor SNR going all the way through to the target classification and track confidences. This technique also allows modeling of ground sensor performance in hypothetical environments such as bad weather.

    Original languageEnglish (US)
    Pages (from-to)197-206
    Number of pages10
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume3713
    DOIs
    StatePublished - 1999
    EventProceedings of the 1999 Unattended Ground Sensor Technologies and Applications - Orlando, FL, USA
    Duration: Apr 8 1999Apr 9 1999

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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