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Proceedings Paper

Knowledge-based resource allocation for multifunction radars
Author(s): Vincent C. Vannicola; Lisa K. Slaski; Gerald J. Genello Jr.
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Paper Abstract

This paper presents a knowledge/rule base system which controls parameters and modes for multi-function/multi-mode sensors such as radar. The system performs a situation assessment of the signal/noise environment followed by appropriately prioritized automatic control of the parameters and modes of the sensor system. The work involved software development of an advanced simulated radar interacting with a simulated environment. The most recent activities involved the implementation of the system with a phased array sensor in a real world signal/noise environment. The results illustrate the improvement in signal to noise as the system assesses the noisy sensor environment and consequently controls the sensor's parameters and modes. A monitor display also reports the type of noise assessed by the system, i.e. interference, terrain clutter, weather clutter, etc., along with the course of action taken, i.e. sidelobe blanking, frequency agility, Doppler filtering, etc., to suppress such noise.

Paper Details

Date Published: 22 October 1993
PDF: 16 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157776
Show Author Affiliations
Vincent C. Vannicola, Rome Lab. (United States)
Lisa K. Slaski, Rome Lab. (United States)
Gerald J. Genello Jr., Rome Lab. (United States)

Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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