Research on GPS geometry-based observational stochastic error model
Aiming at the problem of not enough influencing factors were considered in traditional methods,a much more realistic stochastic model was built.In which error corrections were introduced into the geometry-based function model,an improved least squares variance component estimation (LS-VCE) algorithm...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019188/ |
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| _version_ | 1841539371544608768 |
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| author | Taoyun ZHOU Baowang LIAN Dongdong YANG Yi ZHANG Chenglin CAI |
| author_facet | Taoyun ZHOU Baowang LIAN Dongdong YANG Yi ZHANG Chenglin CAI |
| author_sort | Taoyun ZHOU |
| collection | DOAJ |
| description | Aiming at the problem of not enough influencing factors were considered in traditional methods,a much more realistic stochastic model was built.In which error corrections were introduced into the geometry-based function model,an improved least squares variance component estimation (LS-VCE) algorithm with space-for-time was used to solve the model,two sets of real GPS data were collected to evaluate the performance of the model,and with which the carrier phase integer ambiguity was solved.The experimental results show that the proposed methods are superior to the traditional methods in terms of model accuracy,model solution complexity and integer ambiguity resolution. |
| format | Article |
| id | doaj-art-a62affb73a8a47f9985c23b23d46f0a5 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a62affb73a8a47f9985c23b23d46f0a52025-01-14T07:17:42ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-09-0140748559729578Research on GPS geometry-based observational stochastic error modelTaoyun ZHOUBaowang LIANDongdong YANGYi ZHANGChenglin CAIAiming at the problem of not enough influencing factors were considered in traditional methods,a much more realistic stochastic model was built.In which error corrections were introduced into the geometry-based function model,an improved least squares variance component estimation (LS-VCE) algorithm with space-for-time was used to solve the model,two sets of real GPS data were collected to evaluate the performance of the model,and with which the carrier phase integer ambiguity was solved.The experimental results show that the proposed methods are superior to the traditional methods in terms of model accuracy,model solution complexity and integer ambiguity resolution.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019188/LS-VCEstochastic error modelgeometry-based observation modelIAR |
| spellingShingle | Taoyun ZHOU Baowang LIAN Dongdong YANG Yi ZHANG Chenglin CAI Research on GPS geometry-based observational stochastic error model Tongxin xuebao LS-VCE stochastic error model geometry-based observation model IAR |
| title | Research on GPS geometry-based observational stochastic error model |
| title_full | Research on GPS geometry-based observational stochastic error model |
| title_fullStr | Research on GPS geometry-based observational stochastic error model |
| title_full_unstemmed | Research on GPS geometry-based observational stochastic error model |
| title_short | Research on GPS geometry-based observational stochastic error model |
| title_sort | research on gps geometry based observational stochastic error model |
| topic | LS-VCE stochastic error model geometry-based observation model IAR |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019188/ |
| work_keys_str_mv | AT taoyunzhou researchongpsgeometrybasedobservationalstochasticerrormodel AT baowanglian researchongpsgeometrybasedobservationalstochasticerrormodel AT dongdongyang researchongpsgeometrybasedobservationalstochasticerrormodel AT yizhang researchongpsgeometrybasedobservationalstochasticerrormodel AT chenglincai researchongpsgeometrybasedobservationalstochasticerrormodel |