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ID:44050370
大小:588.41 KB
页数:66页
时间:2019-10-18
《基于TDOA定位算法的分析及仿真》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、摘要无线定位服务是一种冇着广阔市场询景的移动增值业务,基本原理是利用现有蜂窝网络,通过对各种位置特征参数,包括到达吋间(TOA)、到达吋间差(TDOA)、到达方向(DOA)的测量和估计,来实现移动用户的定位。木论文对无线通信网络中基于TDOA的无线定位技术进行了研究。本文分析了国内外相关研究现状,给出了移动台定位的几种基木方法,并给出了TDOA定位的双曲线数学模型,分析了基于TDOA定位的Chan算法、遗传算法(GA)和差分演进算法(DE),并对其进行了让算机仿真。仿真结果表明,三种算法各有优缺点:Chan算法定位精度较低但运算速度很快,GA算法和DE算法定位精度高但收敛吋
2、间较长。在上述研究的基础上,本论文提出了三种新的定位算法:基于TDOA的Chan-GA算法、Chan-DE算法和Chan-IDE算法。并在相同的仿真环境下进行比较,仿真结果表明,在保证种群数量的情况下,所提的算法性能稳定,能找到逼近全局最优点的解,相对于Chan算法精度更高,相对于以前的算法在保证收敛性能的前提下有更快的收敛速度。关键词:移动台定位;到达时间差;遗传算法;差分演进算法;免疫算法ABSTRACTCellularwirelesslocationserviceisanewmobilevalue-addedservicewithagoodmarketfuture.I
3、tsbasicprincipleistoimplementmobileuserlocationthroughestimatingcharacteristicparametersrelativetoposition,includingtime-of^arrival(TOA),time-difference-of^arrival(TDOA),direction-of^arrival(DOA),etc.Thisthesisaimsattheresearchofwirelesslocationtechnologybasedontime-relatedmeasurementsinWi
4、relessCommunicationSystem.Thethesisanalyzesthedomesticandforeigncorrelationresearchofpresentsituation,andgivesseveralessentialmethodsofmobilelocation.Afterthat,themathematicalmodelofTDOAhyperbolicequationsisestablished,threelocationalgorithmsbasedontime-difference-of^arrival(TDOA),Chan,gen
5、eticalgorithmandDifferentialEvolutionareanalyzed,andhavebeencarriedonthesimulationtothem.Thesimulationresultsshowthatallthealgorithmshavetheadvantagesanddisadvantages.TheChanalgorithmhasbadlocationaccuracyandveryquickoperatingspeed.Tothecontrary,thegeneticalgorithmandDifferentialEvolutionh
6、aveahighaccuracyandafastconvergencetime.Basedontheaboveinvestigation,threenewlocationalgorithmscalledChan・GAalgorithm,Chan-DEalgorithmandChan-IDEalgorithmbasedonTDOAmeasurementsareputforwaixLCarryingonthecomputersimulationtothemunderthesameenvironment,thesimulationresultsshowthatifthepopul
7、ationsizeisbigenough,thealgorithmisrobustandcanfindthecoordinates.IthasahigheraccuracythanChanalgorithmsandafasterconvergencetimethangeneticalgorithm.Keywords:Mobilelocation;TDOA;Geneticalgorithm;DifferentialEvolution;Immunealgorithm第1章绪论11.1课题研究背景11.2课题研究的口的和
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