顾及卫星钟随机特性的抗差最小二乘配置钟差预报算法
为了更好地反映钟差特性并提高其预报精度,采用抗差最小二乘配置方法建立一种能够同时考虑星载原子钟物理特性、钟差周期性变化与随机性变化特点的钟差预报模型。首先使用附有周期项的二次多项式模型进行拟合提取卫星钟差的趋势项与周期项,然后针对剩余的随机项及其可能存在的粗差,采用抗差最小二乘配置的原理进行建模,其中最小二乘配置的协方差函数通过对比协方差拟合的方法并结合试验进行确定。使用IGS精密钟差数据进行预报试验,将本文方法与二次多项式模型、灰色模型进行对比,预报精度分别提高了0.457 ns和0.948 ns,而预报稳定性则分别提高了0.445 ns和1.233 ns,证明了本文方法能够更好地预报卫星钟...
Saved in:
| Published in | 测绘学报 Vol. 45; no. 6; pp. 646 - 655 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
地理信息工程国家重点实验室,陕西西安710054%信息工程大学地理空间信息学院,河南郑州,450001
2016
信息工程大学地理空间信息学院,河南郑州450001 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-1595 |
| DOI | 10.11947/j.AGCS.2016.20150569 |
Cover
| Abstract | 为了更好地反映钟差特性并提高其预报精度,采用抗差最小二乘配置方法建立一种能够同时考虑星载原子钟物理特性、钟差周期性变化与随机性变化特点的钟差预报模型。首先使用附有周期项的二次多项式模型进行拟合提取卫星钟差的趋势项与周期项,然后针对剩余的随机项及其可能存在的粗差,采用抗差最小二乘配置的原理进行建模,其中最小二乘配置的协方差函数通过对比协方差拟合的方法并结合试验进行确定。使用IGS精密钟差数据进行预报试验,将本文方法与二次多项式模型、灰色模型进行对比,预报精度分别提高了0.457 ns和0.948 ns,而预报稳定性则分别提高了0.445 ns和1.233 ns,证明了本文方法能够更好地预报卫星钟差,同时说明本文的协方差函数确定方法的有效性。 |
|---|---|
| AbstractList | P228; 为了更好地反映钟差特性并提高其预报精度,采用抗差最小二乘配置方法建立一种能够同时考虑星载原子钟物理特性、钟差周期性变化与随机性变化特点的钟差预报模型.首先使用附有周期项的二次多项式模型进行拟合提取卫星钟差的趋势项与周期项,然后针对剩余的随机项及其可能存在的粗差,采用抗差最小二乘配置的原理进行建模,其中最小二乘配置的协方差函数通过对比协方差拟合的方法并结合试验进行确定.使用IGS精密钟差数据进行预报试验,将本文方法与二次多项式模型、灰色模型进行对比,预报精度分别提高了0.457 ns和0.948 ns,而预报稳定性则分别提高了0.445 ns和1.233 ns,证明了本文方法能够更好地预报卫星钟差,同时说明本文的协方差函数确定方法的有效性. 为了更好地反映钟差特性并提高其预报精度,采用抗差最小二乘配置方法建立一种能够同时考虑星载原子钟物理特性、钟差周期性变化与随机性变化特点的钟差预报模型。首先使用附有周期项的二次多项式模型进行拟合提取卫星钟差的趋势项与周期项,然后针对剩余的随机项及其可能存在的粗差,采用抗差最小二乘配置的原理进行建模,其中最小二乘配置的协方差函数通过对比协方差拟合的方法并结合试验进行确定。使用IGS精密钟差数据进行预报试验,将本文方法与二次多项式模型、灰色模型进行对比,预报精度分别提高了0.457 ns和0.948 ns,而预报稳定性则分别提高了0.445 ns和1.233 ns,证明了本文方法能够更好地预报卫星钟差,同时说明本文的协方差函数确定方法的有效性。 |
| Author | 王宇谱 吕志平 王宁 李林阳 宫晓春 |
| AuthorAffiliation | 信息工程大学地理空间信息学院,河南郑州450001 地理信息工程国家重点实验室,陕西西安710054 |
| AuthorAffiliation_xml | – name: 信息工程大学地理空间信息学院,河南郑州450001;地理信息工程国家重点实验室,陕西西安710054%信息工程大学地理空间信息学院,河南郑州,450001 |
| Author_FL | LI Linyang WANG Ning L(U) Zhiping GONG Xiaochun WANG Yupu |
| Author_FL_xml | – sequence: 1 fullname: WANG Yupu – sequence: 2 fullname: L(U) Zhiping – sequence: 3 fullname: WANG Ning – sequence: 4 fullname: LI Linyang – sequence: 5 fullname: GONG Xiaochun |
| Author_xml | – sequence: 1 fullname: 王宇谱 吕志平 王宁 李林阳 宫晓春 |
| BookMark | eNotz89LAkEUB_A5GGTmn9Al6Lg2szNvZucoUhoIHfIus-OuP6i1lKhuHuqQKAtBKCJIQXQIJOgQCvXXuLvsf9GKXd6DLx_el7eDUl7bcxDaIzhHiGTisJXLFwtnORMTvh6AgcsUShOMiUFAwjbKdrtNG2NgVACVaVSKX34Dvx8MP8LxLH6axRM_nC6jx0XYe48m92F_FHzPw2kv-PRXy8FqMY4fhtHPPJFJHr8m4C2aj8Kv51205arzrpP93xlUOT6qFEpG-bR4UsiXDQ2CGi6nlgVKgmNSphhITpQASZiS2rKVpiBrWGkOTAsqRI253LSYQ7nt1hyiHJpBB5uzN8pzlVevttrXHS8prOrGrb1-HHOMaeL2N0432l79qpnIy07zQnXuqpxLKYBQk_4B7utz5Q |
| ClassificationCodes | P228 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2RA 92L CQIGP W94 ~WA 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.11947/j.AGCS.2016.20150569 |
| DatabaseName | 维普_期刊 中文科技期刊数据库-CALIS站点 中文科技期刊数据库-7.0平台 中文科技期刊数据库-自然科学 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Astronomy & Astrophysics |
| DocumentTitleAlternate | Prediction of Navigation Satellite Clock Bias Considering Clock＇s Stochastic Variation Behavior with Robust Least Square Collocation |
| DocumentTitle_FL | Prediction of Navigation Satellite Clock Bias Considering Clock's Stochastic Variation Behavior with Robust Least Square Collocation |
| EndPage | 655 |
| ExternalDocumentID | chxb201606003 669975132 |
| GrantInformation_xml | – fundername: 国家自然科学基金; 国家863计划; 地理信息工程国家重点实验室开放研究基金; The National Natural Science Foundation of China; The Natural High-tech Research and Development Program of China (863 Program); The Open Research Fund of State Key Laboratory of Geo-information Engineering funderid: (41274015,U1431115); (2013AA122501); (SKLGIE2015-M-1-6); (.41274015,U1431115); (2013AA122501); (SKLGIE2015-M-1-6) |
| GroupedDBID | -01 2B. 2C. 2RA 5VS 5XA 5XB 7X2 92E 92I 92L ACGFS AFKRA ALMA_UNASSIGNED_HOLDINGS ATCPS BBNVY BENPR BHPHI BKSAR CCEZO CCPQU CCVFK CQIGP CW9 GROUPED_DOAJ HCIFZ IPNFZ M0K M7P OK1 P2P PATMY PCBAR PIMPY PYCSY RIG TCJ TGP U1G U5K W94 ~WA 4A8 93N ABJNI AEUYN PHGZM PHGZT PMFND PSX |
| ID | FETCH-LOGICAL-c573-f63885a95e234a45961a75914a9c8bac359d0ac654c7377d4f6284e36bfde1ae3 |
| ISSN | 1001-1595 |
| IngestDate | Thu May 29 04:11:08 EDT 2025 Wed Feb 14 10:14:58 EST 2024 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 6 |
| Keywords | 卫星钟差预报 抗差估计 最小二乘配置 least square collocation robust estimation 协方差函数 随机变化特性 satellite clock bias prediction stochastic variation behavior covariance function |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c573-f63885a95e234a45961a75914a9c8bac359d0ac654c7377d4f6284e36bfde1ae3 |
| Notes | 11-2089/P In order to better express the characteristic of satellite clock bias （SCB） and further improve its prediction precision, a new SCB prediction model is proposed, which can take the physical feature, cyclic variation and stochastic variation behaviors of the space-borne atomic clock into consideration by using a robust least square collocation （LSC） method, The proposed model firstly uses a quadratic polynomial model with periodic terms to fit and abstract the trend term and cyclic terms of SCB. Then for the residual stochastic variation part and possible gross errors hidden in SCB data, the model employs a robust LSC method to process them. The covariance function of the LSC is determined by selecting an empirical function and combining SCB prediction tests. Using the final precise IGS SCB products to conduct prediction tests, the results show that the proposed model can get better prediction performance. Specifically, the results＊ prediction accuracy can enhance 0. 457 ns and 0. 948 ns respectively, |
| PageCount | 10 |
| ParticipantIDs | wanfang_journals_chxb201606003 chongqing_primary_669975132 |
| PublicationCentury | 2000 |
| PublicationDate | 2016 |
| PublicationDateYYYYMMDD | 2016-01-01 |
| PublicationDate_xml | – year: 2016 text: 2016 |
| PublicationDecade | 2010 |
| PublicationTitle | 测绘学报 |
| PublicationTitleAlternate | Acta Geodaetica et Cartographica Sinica |
| PublicationTitle_FL | Acta Geodaetica et Cartographica Sinica |
| PublicationYear | 2016 |
| Publisher | 地理信息工程国家重点实验室,陕西西安710054%信息工程大学地理空间信息学院,河南郑州,450001 信息工程大学地理空间信息学院,河南郑州450001 |
| Publisher_xml | – name: 地理信息工程国家重点实验室,陕西西安710054%信息工程大学地理空间信息学院,河南郑州,450001 – name: 信息工程大学地理空间信息学院,河南郑州450001 |
| SSID | ssib005437539 ssib038074662 ssib051373695 ssib002263888 ssib000862384 ssj0058465 |
| Score | 2.0706105 |
| Snippet | ... P228;... |
| SourceID | wanfang chongqing |
| SourceType | Aggregation Database Publisher |
| StartPage | 646 |
| SubjectTerms | 协方差函数 卫星钟差预报 抗差估计 最小二乘配置 随机变化特性 |
| Title | 顾及卫星钟随机特性的抗差最小二乘配置钟差预报算法 |
| URI | http://lib.cqvip.com/qk/90069X/201606/669975132.html https://d.wanfangdata.com.cn/periodical/chxb201606003 |
| Volume | 45 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NaxNBFF9qvXgRP2mtlhwcLyW6u_O1c9xNNxZFQazQW5jZbNqLqdoWtKce9GCxFARpKYWiIB6EIniQFvSvaRLyX_je7GQbaBH1EoaXN795M28z85vJm7eed1MbaTCBdTXMhIYNis6rJhO8SnUW6tyP8oDj3eEHD8XME3Zvjs-NnBkdilpaWTa3s9VT75X8j1dBBn7FW7L_4NkSFARQBv_CJ3gYPv_KxyRVJA5IkpKUk6hOotgWpkmckFQQFRFVRx0VDgoxquFXNZKAsiSRIolCSeSTWKIEdZiVxERJBEwkiVNXC9RQ4lschiBRzRYUNgdNRNYAwEmmba2y9RIHbA6Pm4g5KoMc2xIkoaR4HeaAMVshYCYWM7GtcBIDuCgRBk-N7VBqdTlCRgAZobFJMIUi5QO4taQ-6Bp0n06dqIfq0N1plGKhsM520apbLTfIIKVutJ0l7hCluN3pZnyMKQNOx4eXhCLDpXv0h-d34c5LC6ogigzDJ1chxaRdhuK7tccYPoixMAFyTXW87JbBkEIoJXlAgUicDaUMMDD1_qNhkgwUNRomYTBnDiWZ44zCnrMkpfgGASaOk0ACsqRClZtCZJzcxgC4jrt7bWj0ndNMxqwjC4vt-efApezVtnZLt-eHWNjsBe-82z5V4uK3cNEbWV245I3FS_iHzuLTV5VbFVsuzuuWLnsz_Y-_OpvrnY2v3e29_vu9_s5md_ew9_agu_alt_O6u77V-bHf3V3rfNs8Onx3dLDdf7PR-7kPmiDvfwKFz739re73D1e82Xo6W5upupeHVDMuabWFY8S14nlImWZciUBLrgKmVRYZnVGumr6GWYllkkrZZC0BRC2nwrSaeaBzetUbbS-28zGv4je5EYZlATUhky0GFDfUJvf9LDdGRWbcmyjHp_GsyBHTKJ067k26EWu4mWOpkS28NDjEPuw26LU_Vp_wzqFmceh33RtdfrGS3wAavGwm7VPyG-K5jS8 |
| linkProvider | Colorado Alliance of Research Libraries |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E9%A1%BE%E5%8F%8A%E5%8D%AB%E6%98%9F%E9%92%9F%E9%9A%8F%E6%9C%BA%E7%89%B9%E6%80%A7%E7%9A%84%E6%8A%97%E5%B7%AE%E6%9C%80%E5%B0%8F%E4%BA%8C%E4%B9%98%E9%85%8D%E7%BD%AE%E9%92%9F%E5%B7%AE%E9%A2%84%E6%8A%A5%E7%AE%97%E6%B3%95&rft.jtitle=%E6%B5%8B%E7%BB%98%E5%AD%A6%E6%8A%A5&rft.au=%E7%8E%8B%E5%AE%87%E8%B0%B1+%E5%90%95%E5%BF%97%E5%B9%B3+%E7%8E%8B%E5%AE%81+%E6%9D%8E%E6%9E%97%E9%98%B3+%E5%AE%AB%E6%99%93%E6%98%A5&rft.date=2016&rft.issn=1001-1595&rft.volume=45&rft.issue=6&rft.spage=646&rft.epage=655&rft_id=info:doi/10.11947%2Fj.AGCS.2016.20150569&rft.externalDocID=669975132 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90069X%2F90069X.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fchxb%2Fchxb.jpg |