Impact of adaptable computing technology on embedded aided target recognition processors

James Hilger; Danh Phung

doi:10.1117/12.357154

27 July 1999 Impact of adaptable computing technology on embedded aided target recognition processors

James Hilger, Danh Phung

Proceedings Volume 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII; (1999) https://doi.org/10.1117/12.357154
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

This paper summarizes a study investigating the potential insertion of embedded high performance computing technology into a legacy processor architecture such as that found in U.S. Army ground platforms. The intended task to be performed by the embedded high performance computing technology is that of aiding human operators in their target acquisition activities by cueing these operators to potential targets. Insertion of this technology is constrained by two sets of requirements. The first set of requirements is given by the ground platform, such as a tank. The second set of requirements is formed from the mathematical algorithms used to process the sensor data. Results of this joint U.S. Army CECOM Night Vision & Electronic Sensors Directorate and Defense Advanced Research Projects Agency study show no commercially available computing technology can meet all requirements. The study did show that inclusion of adaptable computing technology allowed most of the requirements to be met. This paper summarizes the methodology and models used to obtain these results as well as the impact of adaptable computing technology to embedded ATR processors.

Citation Download Citation

James Hilger and Danh Phung "Impact of adaptable computing technology on embedded aided target recognition processors", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357154

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