GSMR网络场强测试方法的改进及仿真

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1、北京交通大学硕士学位论文GSM-R网络场强测试方法的改进及仿真姓名：付昕宇申请学位级别：硕士专业：通信与信息系统指导教师：朱刚20080601ABSTRACTABSTRACT：Wirelessnetworkcoverageisoneofthekeyjudgmentstandardsofthewirelessnetworkperformance．Generally,theinvestigationofthenetworkcoverageismainlyaboutthefollowingthreestandards：coverageprobability,radiusoftheserving

2、cell，areaofoverlap．However,thesestandardsallneedthefieldstrengthtesttov舐fy．Asakeymethodofnetworkcoverageinspection,thefieldstrengthtestisoneofthemostimportantcontentintheconstructionofthecommunicationnetwork，anditlastsinthewholelifeofthenetwork．Untilnow,thereisnouniformmethodinthefieldtestworkhom

3、eandabroad．Sotheresearchoffieldtestalgorithmwhichcanbeappliedtodifferentsituationisofgreattheoreticalsignificanceandpracticalvalue．Thisdissertationcentersontheestablishmentofthefieldtestmethod，emphasizingonthechoosingofaveraginglengthandthenumberofsamplingpoints．Inordertoperfectexisttestmethod；th

4、eresearchpointismainlyontheestimatingaccuracyandthemethodofdecreasingthesamplingpoint．ThisdissertationanalysisthevariousassumptionconditionsoftheLee’Salgorithm，qualitativelygivestheeffectofthenumbersofthemulti-pathontheaveraginglength．Thepaperalsoanalysiseffectoftheco．elationefficientofsamplesont

5、henumberofsamplingpointsquantitatively．AimsattheproblemthattheaveraginglengthCannotbeincreasedboundlessly,thisdissertationcombinesthedistributioncharacteristicofmulti-path．providestheupperboundoftheaveraginglengthinthedifferentterrainenvironment．Noticingthatintherailwayenvironment,thesignalobeysR

6、iciandistribution，thisdissertationsimulatesthenumberofsamplingpointswhentheRicianfactorvaluechanges．Meanwhile，thepapercombinesthedataprocessalgorithmandthedeductionofnumberofsamplingpoints，deducesaseriesoflowestboundvaluesofsamplingpointsofdifferentalgorithms．Thispaperalsoimprovesthealgorithmofda

7、taprocessbymaximumlikelihoodparameterestimatemethod，andobtainsrelativelysmallsamplingpoints．Byprocessingthedata，thedissertationgetsdifferentNvaluewithdifferentdistributionvalues．Then，thepaperestimatesthepowerofsignal，g