Design guidelines for a rule-based passive surveillance system

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dc.contributor.advisorRowe, Neil C.
dc.contributor.advisorDunlap, Calvin R.
dc.contributor.authorJennings, Kirk Edward
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentComputer Science
dc.dateSeptember 1986
dc.date.accessioned2012-11-27T00:16:02Z
dc.date.available2012-11-27T00:16:02Z
dc.date.issued1986-09
dc.description.abstractThis 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.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.funderDefense Advanced Research Projects Agency under ARPA Order No. 5141, N6227186WR60080en_US
dc.description.funderSpace & Naval Warfare Systemsen_US
dc.description.sponsorshipDefense Advanced Research Projects Agency under ARPA Order No. 5141, N6227186WR60080en_US
dc.description.sponsorshipSpace & Naval Warfare Systemsen_US
dc.description.urihttp://archive.org/details/designguidelines1094521768
dc.format.extent50 p.en_US
dc.identifier.npsreportNPS 52-86-020
dc.identifier.urihttps://hdl.handle.net/10945/21768
dc.language.isoen_US
dc.publisherMonterey, California: U.S. Naval Postgraduate Schoolen_US
dc.rightsThis 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.en_US
dc.subject.authorartificial intelligenceen_US
dc.subject.authorrule-based systemen_US
dc.subject.authorpassive surveillance systemen_US
dc.subject.authorblackboard architectureen_US
dc.subject.authorframes data structureen_US
dc.subject.authoruncertaintyen_US
dc.subject.lcshSurveillance radaren_US
dc.titleDesign guidelines for a rule-based passive surveillance systemen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S. in Computer Scienceen_US
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