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1、萬(wàn)方數(shù)據(jù)602008,44(3)ComputerEn#neeringandApplications計(jì)算機(jī)工程與應(yīng)用基于BP神經(jīng)網(wǎng)絡(luò)的蜂窩無(wú)線定位算法毛永毅1,2,3,李明遠(yuǎn)a,張保軍,MAOYong-yil·2~.LIMing—yuan4,ZHANGBao-jun31.中國(guó)科學(xué)院國(guó)家授時(shí)中心,西安7106002.中國(guó)科學(xué)院研究生院,北京1000393.西安郵電學(xué)院電信系,西安7100614.西安交通大學(xué).西安7100491.NationalTimeServiceCenter,ChineseAcademyof
2、Sciences,Xi’an710600,China2.GraduateSchooloftheChineseAcademyofSciences,BeijiIng100039,China3.Dept.ofElectronicandInformation,Xi’anUniversityofPostandTelecommunications,Xi’an710061,China4.Xi’anJiaotongUniversity,Xi’an710049,ChinaE—mail:maoyongyi@263.netMAO
3、Yong-yi,LIMing-yuan.ZHANGBao-jan.CellularlocalizationalgorithmbasedonBPneuralnetwork.ComputerEngineeringandApplications,2008,44(3):60-63.Abstract:Inordertosolvetheproblemhowtoconstrnctcovariancematrixthatusedprescientinfi)rmationofmeasurementdatainleast—sq
4、uare—method,acellularlocalizationalgorithmbasedontheBPneuralnetworkisproposed.ThemeasurementofAOA,TOAandTDOAprovidedbymobilebasestationisfusedtolocatemobile.Thefaststud)randnon-linearapproaehcapacityoftheneuralnetworkismadeuseoftoapplyincomplicatedmuhipath
5、environment.Atthesametime,thelocationredundancyanticomplementaryinformationisfullusedtomitigatetheeffectofNon—I.ine-Of-Sight(NLOS)pr()pagation.ThelocationpeflbrmanceofBPneuralnetworkissimulated.Thesimulationresultsindieatethattheuncertaintyoflocationandthe
6、effectofbadbasementpositionisavoidedwhilethecellularlocalizationalgorithmbased《)ntheBPneuralnetworkisused.1t’slocationaccu!’acyissignificantlyimprovedundercomplicatedmuhipathenvironment.Keywords:least—square-method;cellularsystem;neuraInetwork;Non一1.ine—Of
7、-Sight(NI.OS)摘要:為了解決最小二乘法需要測(cè)量數(shù)據(jù)的先驗(yàn)信息來(lái)構(gòu)造協(xié)方差矩陣的問(wèn)題,提出了基于BP神經(jīng)網(wǎng)絡(luò)的蜂窩無(wú)線定位算法。該算法融合了移動(dòng)基站提供的AOA、TOA和TDOA測(cè)量值來(lái)實(shí)現(xiàn)移動(dòng)臺(tái)的定位,利用神經(jīng)網(wǎng)絡(luò)較快的學(xué)習(xí)特性和逼近任意非線性映射的能力,使其適用于復(fù)雜的多徑環(huán)境。同時(shí)充分利用了定位的冗余和互補(bǔ)信息有效地減小了非視距傳播的影響。對(duì)基于BP神經(jīng)網(wǎng)絡(luò)的定位系統(tǒng)性能進(jìn)行了仿真,結(jié)果表明,基于BP網(wǎng)絡(luò)的蜂窩無(wú)線定位算法消除了定位模糊和基站非理想分布對(duì)定位精度的影響,在復(fù)雜的多徑環(huán)境下能夠
8、有效地提高定位精度。關(guān)鍵詞:最小二乘法;蜂窩系統(tǒng);神經(jīng)網(wǎng)絡(luò);非視距傳播文章編g-:1002—833l(2008)03—0060—04文獻(xiàn)標(biāo)識(shí)碼:A中圖分類(lèi)號(hào):TN929.531引言自E一9ll定位需求I·I頒布以來(lái),移動(dòng)臺(tái)定位技術(shù)在國(guó)外受到高度重視和深入研究。在蜂窩無(wú)線定位算法中,求解移動(dòng)終端位置的圓位置線方程組、雙曲位置線方程或含有到達(dá)角度的位置線方程組中會(huì)遇到非線
9、生問(wèn)題,通常情況下需要將其轉(zhuǎn)換成線性方程組后