Design guidelines for a rule-based passive surveillance system

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Authors
Jennings, Kirk Edward
Subjects
artificial intelligence
rule-based system
passive surveillance system
blackboard architecture
frames data structure
uncertainty
Advisors
Rowe, Neil C.
Dunlap, Calvin R.
Date of Issue
1986-09
Date
September 1986
Publisher
Monterey, California: U.S. Naval Postgraduate School
Language
en_US
Abstract
This paper addresses the application of artificial intelligence to passive surveillance systems that use waveform analysis as their primary means of detecting, classifying and locating a specific target. Discussion is further limited to those passive surveillance systems which must deal with considerable noise in the data. Present methods, which use visual examination of the waveform data for the detection of target waveforms, is complicated, time consuming, and requires considerable expertise. The lack of prior knowledge of the nature of the noise, (e.g., frequency spectra, amplitude, or dynamics), means that the majority of signal analysis must be done by experts. This study discusses and recommends a rule-based system which uses the following artificial intelligence structures: the blackboard architecture, and the frames data structure. Sources of uncertainty are also discussed and methods of dealing with it are suggested. This study recommends that the symbolic representation language be carefully selected for conciseness, efficiency, and a vocabulary rich enough to express everything desired by the experts. A learning knowledge source is also recommended.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
NPS 52-86-020
Sponsors
Defense Advanced Research Projects Agency under ARPA Order No. 5141, N6227186WR60080
Space & Naval Warfare Systems
Funder
Defense Advanced Research Projects Agency under ARPA Order No. 5141, N6227186WR60080
Space & Naval Warfare Systems
Format
50 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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