JOURNAL ARTICLE

Tight GNSS/INS integration

Мадина ТасоваA. S. Ibraev

Year: 2023 Journal:   Bulletin of the National Engineering Academy of the Republic of Kazakhstan Vol: 90 (4)Pages: 185-195

Abstract

GNSS/INS tight integration algorithm has been studied in this paper. The main idea is to get the user’s position by considering the solution of a restricted version of the GNSS optimization problem, in which the classical tripartite is limited to INS measurements. It leads to a linearly bounded least squares problem, which may be solved in the worst case in polynomial time. The efficiency of the algorithm is confirmed by simulations in complex scenarios (multipath and weak signal conditions) and shows improved performance compared to autonomous GNSS AND GNSS/INS Kalman in the same conditions.

Keywords:
GNSS applications Multipath propagation Bounded function Computer science Polynomial Position (finance) Algorithm Kalman filter SIGNAL (programming language) Mathematical optimization Mathematics Global Positioning System Telecommunications Mathematical analysis Artificial intelligence

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Topics

GNSS positioning and interference
Physical Sciences →  Engineering →  Aerospace Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Frequency and Time Standards
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics

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