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author:

Chen, G.-Y. (Chen, G.-Y..) [1] | Gan, M. (Gan, M..) [2] | Chen, C.L.P. (Chen, C.L.P..) [3] | Chen, L. (Chen, L..) [4]

Indexed by:

Scopus

Abstract:

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. © 1963-2012 IEEE.

Keyword:

Global navigation satellite systems (GNSSs); least squares method; parameter estimation; variable projection (VP)

Community:

  • [ 1 ] [Chen, G.-Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Chen, G.-Y.]Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Chen, G.-Y.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 4 ] [Chen, G.-Y.]Center for Discrete Mathematics and Theoretical Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Gan, M.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Gan, M.]Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, 350116, China
  • [ 7 ] [Gan, M.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 8 ] [Gan, M.]Center for Discrete Mathematics and Theoretical Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 9 ] [Chen, C.L.P.]Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, 99999, Macau
  • [ 10 ] [Chen, C.L.P.]Navigation College, Dalian Maritime University, Dalian, 116026, China
  • [ 11 ] [Chen, C.L.P.]State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China
  • [ 12 ] [Chen, C.L.P.]Faculty of Science and Technology, University of Macau, Macau, 99999, Macau
  • [ 13 ] [Chen, L.]Faculty of Science and Technology, University of Macau, Macau, 99999, Macau

Reprint 's Address:

  • [Gan, M.]College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

IEEE Transactions on Instrumentation and Measurement

ISSN: 0018-9456

Year: 2018

Issue: 11

Volume: 67

Page: 2518-2525

3 . 0 6 7

JCR@2018

5 . 6 0 0

JCR@2023

ESI HC Threshold:170

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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