基于颜色滤波和距离测量的水声传感器网络移动节点定位-软件工程专业论文.docx

基于颜色滤波和距离测量的水声传感器网络移动节点定位-软件工程专业论文.docx

  1. 1、本文档共82页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
基于颜色滤波和距离测量的水声传感器网络移动节点定位-软件工程专业论文

合平面方程和最小二乘法计算移动节点的坐标。通过仿真实验最终验证了新算法的定位性能以及定位精度的好坏。关键词:水声传感器网络;颜色序列值;移动节点定位;海伦空间二乘法IV万方数据Abs仃actMobilenodelocalizationforunderwateracousticsensornetworks(UASNs)hasbecomeoneoftheimportantkeytechnologies.Inthisarticle,thebackgroundofUASNs,overseasand domesticresearchstatusofUASNs,thesystemstructureofUASNs,characteristicsandapplicationareasofUASNsaresummarized.Furthermore,someexistingclassicalrangingmethodsandsomemobilenodelocalizationalgorithmsareanalyzedandintroduced.Furthermore,wesummarizetheexistingclassicmobilenodelocalizationmethods.According tothecharacteristicsofUASNs,weproposesomemobilenodelocalizationalgorithms.(1)Weproposeananchor-colorfilteringlocalizationalgorithmbasedonthehierarchicalstructure(ACFL).Inordertofurtherimprovethelocalizationaccuracy,anotherkindoflocalizationalgorithmisproposedwhichisnamedaprojection-colorfilteringlocalizationalgorithmbasedontheprojecteddistance(PCFL).ThedifferencebetweentheabovetwoalgorithmsisthatPCFLadoptstheprojecteddisl:ancesbetweenthemobilenodeandtheprojectionnodeofeachtaskanchors,whileACFLemplovsthedirectdistancesbetweenthemobilenodeandeachofthetaskanchors.Theabovetwomethodsbothemploytheintersectionsignalregionbetweentheprojectionnodesoftaskanchorsandthemobilenodeasthecurrentsamplingareainthecommunicationarea.AtⅡles锄etime,thehierarchicalnetworkmodelisproposedinthebothtwomethods.TheproportionfactorofdistanceisusedtocalculatetheRGBvaluesofthemobile nodeandthesamples.SamplesCanbepickedoutbycomparingthenearnessdegreesoftheRGBsequencesbetweenthesamplesandthemobilenode.Andthecoordinatesofthe mobilenodesCanbecalculatedusingtheweightedmethods.ThesimulationexperimentsvalidatethatPCFLandACFLhavebetterlocalizationperformance.Furthermore,theaveragelocalizationerrorofPCFLCandeclinebyabout30.4%thanananchor-freelocalizationalgorithm(AFLA).(21Inordertofurtherdeclinethelocalizationerror,thenewmethodisproposedwhichisanenergyscreeningmobilelocalizationalgorithmbasedondistancemeasurementintimeofflight(TOF)technologycalledESDM-TOEInthismethod

文档评论(0)

peili2018 + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档