15879.gps載波相位時(shí)頻傳遞中的數(shù)據(jù)質(zhì)量控制問(wèn)題研究

1、論文題目：GPS載波相位時(shí)頻傳遞中的數(shù)據(jù)質(zhì)量控制問(wèn)題研究專業(yè)：大地測(cè)量學(xué)與測(cè)量工程碩士生：張如飛（簽名）指導(dǎo)教師：郭嵐（簽名）摘要高精度時(shí)間頻率傳遞技術(shù)是一個(gè)國(guó)家的基本技術(shù)支撐。量子頻標(biāo)的飛速發(fā)展對(duì)時(shí)間頻率傳遞的精度提出了更高的要求，迫使人們研究精度更高的時(shí)頻傳遞方法。GPS載波相位時(shí)間頻率傳遞是人們研究最多的一種方法。由于GPS載波相位觀測(cè)容易受到各種誤差的影響，因此，在載波相位時(shí)頻傳遞中為了提高時(shí)頻傳遞精度，必須控制數(shù)據(jù)質(zhì)量。然而，

2、作為GPS載波相位時(shí)頻傳遞數(shù)據(jù)處理的重要內(nèi)容，周跳的探測(cè)與修復(fù)一直是個(gè)比較棘手的問(wèn)題。雖然針對(duì)這一問(wèn)題國(guó)內(nèi)外有多種解決方法，但傳統(tǒng)的周跳探測(cè)與修復(fù)方法都存在著各種各樣的不足和缺陷。本文主要對(duì)傳統(tǒng)的多項(xiàng)式擬合法采用歷元間求差與抗差估計(jì)相結(jié)合的方法進(jìn)行改進(jìn)，利用抗差估計(jì)理論，將新的權(quán)函數(shù)應(yīng)用到多項(xiàng)式系數(shù)擬合中。通過(guò)實(shí)際數(shù)據(jù)的驗(yàn)證，用抗差多項(xiàng)式擬合法探測(cè)并修復(fù)周跳，更加穩(wěn)定可靠。關(guān)鍵詞：時(shí)間頻率傳遞；GPS載波相位；周跳探測(cè)與修復(fù)；多項(xiàng)式擬合

3、；抗差估計(jì)；權(quán)函數(shù)；抗差多項(xiàng)式擬合研究類型：應(yīng)用研究Specialty：ResearchonProblemsofcontrolthequalityofthedateaboutTimeFrequencyTransferbyUsingGPSCarrierPhaseSpecialty：GeodesysurveyingengineeringName：ZhangRufei（signature）Instruct：GuoLan（signature）A

4、BSTRACTPrecisiontimefrequencytransfertechnologyisabasictechnicalsupptfonecountry.Therapiddevelopmentofquantumfrequencystardsaskfahigheraccuracyrequirementsftimefrequencytransferfcingpeopletostudyhigherprecisiontimefreque

5、ncytransfermethods.GPScarrierphasetimefrequencytransferisthemoststudiedmethods.SincetheGPScarrierphasemeasurementssusceptibletovariouserrswehavetocontrolthequalityofthedataindertoimprovetheaccuracyofthecarrierphasetimefr

6、equencytransfer.ButasanimptantpartofthedataprocessingftheGPScarrierphasetimefrequencytransfercycleslipdetectionrepairhasalwaysbeenatrickyissue.Althoughthereareavarietyofsolutionstothisproblemindomesticinternationaltherei

7、savarietyofinadequatedefectsaboutthetraditionalcycleslipdetectionrepairmethods.Thispaperfocusesonusingamethodfcombiningepochdifferencewithrobustestimationtoimprovethetraditionalmethodofpolynomialfittingusingthetheyofrobu

8、stestimationapplyinganewweightfunctiontothecoefficientsofpolynomialfitting.Verifiedbytheactualdatausingrobustpolynomialfittingtodetectionrepaircycleslipsismestablereliable.Keywds:TimeFrequencyTransferGPScarrierphaseCycle