基于人工智能的多傳感器數(shù)據(jù)融合技術(shù)研究及應(yīng)用.pdf

1、北方交通大學(xué)碩士學(xué)位論文基于人工智能的多傳感器數(shù)據(jù)融合技術(shù)研究及應(yīng)用姓名：寧云暉申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：計(jì)算機(jī)應(yīng)用指導(dǎo)教師：黃厚寬2001.2.1苧主△王塑些箜墨堡墮堡塾塑壁壘墊查塑壅墨壁望AbstractDataFusionTechnologyhasawiderangeofapplicationprospectsinthemilitaryfieldThispaperstudieshowtouseartificalintelligenc

2、etechnology(includingD—Sevidentialreasoning，Bayesalgorithm，expertsystem，andtheothers)tosolve“NavyMultisensorDataFusion”applicationproblemThepapersummarizesfundamentalprinciples、definitions、levels、applicationsanddevelopme

3、ntsofdatafusiontechnologyThefocusiesofthepaperaretheBayesalgorithmandD—SevidentialreasoningusetomultisensordatafusionThepaperpresentshowtousetheD—Sevidentialreasoningtoidentifyobjectsatseadescribesindetailhowtotransformt

4、hesensordatatothebasicprobabilityassignment(bpa)，howtogettheinfluenceofuncemtaintyinthedatafusion，andfor也eonetoone，oronetomorerelationbetweenradaranditsshipboard，howtogivethemultisensordatafusionalgorithmbasedontheD—Sevi

5、dentialreasoningandthepignisticprobabilitymethodIthasverylargeapplicationvalueThepaperalsostudieshowtouseBayesalgorithmindatafusionoftheairobjectattributeandtypemeasurementinidentificationprocessFinallyitshowshowtousedat

6、afusiontechnologybasedonartificalintelligenceinsituationanalyseandthreatenjudgmentapplicationandlistssomeexamplesThethreatenjudgmentmethodusingtheexpertsystemisveryadvancedEspeciallythepaperdevelopsaobjectidentificationm