基于ZigBee的贝叶斯室内定位算法研究-通信与信息系统专业论文

gorithm,whichleadtotheerrorofcalculation.Third,accordingtothefeatureofrandomandnormaldistributionofRSSI,GaussfilteringalgorithmandBayesianstatisticstheoryareanalyzedinordertoimproveRSSI-basedpositioningalgorithm.Theproposedalgorithmhasthreesteps.First,RSSIvaluesbetweentheunknownnodeandanchor’2430.Then,thereadRSSIvaluesareprocessedbyGaussfilteringalgorithm.Distancebetweennodesiscalculatedthroughtheempiricalmodel.Initialuncalculatedpositioninformationisestimatedbythepositioningalgorithm.Finally,establishingaBayesianfilteringmodelfromtheprincipleoftheprobabilitystatistics,ittakestheestimatedlocationinformationasthepriorvalue,uracy.uracyhasbeenimprovedafterimprovementalgorithm.uratetoaboutO.Ol~lmeter.Keywords:IndoorLocalization;ZigBee;RSSI;GaussianfilteringAlgorithm;BayesianfilteringAlgorithmⅡ