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A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning | |
Chen, Guang-Yong1,2,3,4; Gan, Min1,2,3,4; Chen, C. L. Philip5,6,7; Chen, Long8 | |
发表期刊 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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ISSN | 0018-9456 |
2018-11-01 | |
卷号 | 67期号:11页码:2518-2525 |
通讯作者 | Gan, Min(aganmin@aliyun.com) |
摘要 | In some complex environments, nonline-of-sight (or multipath) usually introduces an additional path delay to the pseudorange, which is known to be one of the most dominant sources of accuracy degradation in global navigation satellite systems (GNSSs). The additional path error is non-Gaussian. Different techniques, including antenna-based, receiver-based, and poster-receiver, have been proposed for mitigating the influence of multipath. However, the estimated additional path delay obtained by classical algorithms, such as maximum likelihood or Bayesian estimation, often has a certain deviation from the real-additional path delay. For more accurate estimation, we first restrict the additional path error in a relatively wide interval; then, the position estimation is converted into a constrained separable nonlinear least squares problem. We propose, in this paper, a two-stage estimation algorithm for global positioning system positioning. At the first stage, we ignore the additional path error and obtain a relatively accurate initial position. Then, based on the result obtained at the first stage, we include the additional path error in the estimation problem and estimate it by variable projection (VP) method. Numerical results show that the proposed algorithm based on the VP method can effectively mitigate multipath interference. |
关键词 | Global navigation satellite systems (GNSSs) least squares method parameter estimation variable projection (VP) |
DOI | 10.1109/TIM.2018.2826798 |
关键词[WOS] | NONLINEAR LEAST-SQUARES ; PARAMETER-ESTIMATION ALGORITHM ; RATE HAMMERSTEIN SYSTEMS ; INTERFERENCE MITIGATION ; MULTIPATH MITIGATION ; GNSS RECEIVERS ; NOISE |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Fujian Engineering Research Center of Big Data Analysis and Processing ; Fujian Collaborative Innovation Center for Big Data Application in Governments ; Technology Innovation Platform Project of Fujian Province[2014H2005] ; National Nature Science Foundation of China[U1705262] ; National Nature Science Foundation of China[61672159] ; National Nature Science Foundation of China[61673405] ; National Nature Science Foundation of China[61673155] ; National Nature Science Foundation of China[61673155] ; National Nature Science Foundation of China[61673405] ; National Nature Science Foundation of China[61672159] ; National Nature Science Foundation of China[U1705262] ; Technology Innovation Platform Project of Fujian Province[2014H2005] ; Fujian Collaborative Innovation Center for Big Data Application in Governments ; Fujian Engineering Research Center of Big Data Analysis and Processing |
项目资助者 | National Nature Science Foundation of China ; Technology Innovation Platform Project of Fujian Province ; Fujian Collaborative Innovation Center for Big Data Application in Governments ; Fujian Engineering Research Center of Big Data Analysis and Processing |
WOS研究方向 | Engineering ; Instruments & Instrumentation |
WOS类目 | Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000448720700001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/22789 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Gan, Min |
作者单位 | 1.Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China 2.Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou 350116, Fujian, Peoples R China 3.Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China 4.Fuzhou Univ, Ctr Discrete Math & Theoret Comp Sci, Fuzhou 350116, Fujian, Peoples R China 5.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 99999, Peoples R China 6.Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China 7.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China 8.Univ Macau, Fac Sci & Technol, Macau 99999, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Guang-Yong,Gan, Min,Chen, C. L. Philip,et al. A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018,67(11):2518-2525. |
APA | Chen, Guang-Yong,Gan, Min,Chen, C. L. Philip,&Chen, Long.(2018).A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,67(11),2518-2525. |
MLA | Chen, Guang-Yong,et al."A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 67.11(2018):2518-2525. |
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