GNSS velocimeter by adaptively combining carrier phase and Doppler measurements. Issue 7 (1st September 2020)

• Record Type: Journal Article
• Authors: Zhang, Laihong; Chang, Guobin; Chen, Chao; Zhang, Siyu; Zhu, Ting
• Is Part Of: IET science, measurement & technology. Volume 14:Issue 7(2020)
• Page Start: 762
• Page End: 771
• Publication Date: 2020-09-01
• Subjects: Kalman filters -- adaptive Kalman filters -- state‐space methods -- satellite navigation -- Global Positioning System -- Doppler measurement -- sensor fusion; stand‐alone global navigation satellite system receiver -- stable instantaneous velocity -- hybrid GNSS velocimetry approach -- data fusion problem -- state‐space model -- time difference carrier phase approach -- state model -- adaptive Kalman filtering approach -- GNSS velocimeter; Measurement -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Periodicals; Nanotechnology -- Periodicals; Electromagnetism -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3
• DOI: 10.1049/iet-smt.2018.5674
• Languages: English
• ISSNs: 1751-8822

Abstract

Abstract : In order to use a stand‐alone global navigation satellite system (GNSS) receiver to determine the stable instantaneous velocity, a new hybrid GNSS velocimetry approach combining carrier phase and Doppler measurements is proposed. This is a data fusion problem. The problem is expressed as a state‐space model, in which the deviation between the average velocity determined by the time difference carrier phase approach and the instantaneous velocity is represented by the uncertainty of the state model. In kinematic applications, this uncertainty is often variant and hard to be known in advance, a predefined process noise level of the state model is often not sufficiently accurate in the whole working time. Here, an adaptive Kalman filtering approach is employed to fix this problem. To verify the proposed approach, one static experiment and two dynamic experiments with different sampling intervals are performed, separately. All results demonstrate the validity and stability of the proposed approach.