車載網(wǎng)中車輛相對(duì)位置定位原型系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn).pdf

1、分類號(hào)UDC密級(jí)壘五Z參聲夕擎碩士研究生學(xué)位論文車載網(wǎng)中車輛相對(duì)位置定位原型系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)申請(qǐng)人：學(xué)號(hào)：培養(yǎng)單位：學(xué)科專業(yè)：研究方向：指導(dǎo)教師：完成日期：趙書嫻2121433計(jì)算機(jī)科學(xué)技術(shù)學(xué)院軟件工程移動(dòng)無線網(wǎng)郭龍江教授2014年4月10日黑龍江大學(xué)碩士學(xué)位論文AbstractTrafficaccidentproblemhasbecomethefocusofsocialproblemsLocalizationtechnologyiso

2、neofthemostimportantapplicationsThetraditionallocalizationtechnologescannotbeusedinmanyoccasions，forexample，badwealher(Snowrainetc)，badlightconditions(dark，sunglareetc)aswellasinpresenceofurbannoise(egfadedlanemarks，park

3、edcarsandcrashbarriersetc)Otherlocalizationtechnologyhavehighequipmentcost，canonlyIocateneighborvehicles，notsuitableforinstallationintheexistingCarSAimingattheseshortcomings，thispaperputsforwardanovelvehiclelocalizationt

4、echnologyusingmultiplewirelesssensornodes，presentSavehiclerelativelocalizationsystemframework，andwithintheframework，studiesthemainkeytechnologiesofthesystemInorderteducetheeffectofthesingleRSSImodelandtheaveragemodeltOfi

5、nallyRSSIvalueThispaperusesgaussmodeltemovepartofthegreatesterrorofRSSlvalueandusesoptimalweightingmethodtOobtainthefinalRSSlvaluesTheexperimentalresultsshowthat，theerrorofthegaussweightedmodelissmallerthanaveragelocaliz

6、ationmodelThroughtheverificationexperiment，itisconcludedthatwhentWOvehiclesareinthesamelanethelinklossbetWeensensornodesissymmetric，however，whentwovehiclesareinthedifferentlanethelinklossisasymmetricWedesignedtWokindsofr

7、elativelocalizationalgorithmofsensorlocationmodel，aswellastherelativelocalizationoptimizationalgorithmThrou曲theexperiment，thebestpositionofthesensorsonthevehiclebodyisdeterminedTheresponsetimeofthesystemcan’tmorethan7sUn

8、derdifferentenvironmentalconditionsanddifferentvehicletypes，theaveragelocalizationaccuracycanreach90％ThispaperpresentsarangingalgorithmbasedonRSSIanddistancemappingChangethetraditionalone—to—onerelationshipbetweensingleR