Mingzhen Gui
Beihang University
31 Papers
52 Citations
Mingzhen Gui is an academic researcher from Beihang University. The author has contributed to research in topics: Celestial navigation & Computer science. The author has an hindex of 7, co-authored 23 publications. Previous affiliations of Mingzhen Gui include Nanjing University & Central South University.
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Papers
A Fast Calibration Method of the Star Sensor Installation Error Based on Observability Analysis for the Tightly Coupled SINS/CNS-Integrated Navigation System
TL;DR: A fast calibration method of the star sensor installation error for the tightly coupled SINS/CNS-integrated navigation system based on maneuvers and observability analysis is proposed and simulations indicate that the proposed method is feasible and effective when only one star is visible at a time.
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Differential X-ray pulsar aided celestial navigation for Mars exploration
TL;DR: In this article, a differential X-ray pulsar aided CeleNav method is proposed to eliminate the major part of systematic biases and improve the navigation accuracy, which adopts the time-differenced X-Ray pulsar measurement.
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Adaptive Appointed-Time Consensus Control of Networked Euler-Lagrange Systems With Connectivity Preservation.
TL;DR: In this paper, a new appointed-time consensus control approach for uncertain networked Euler-Lagrange systems on a directed graph via exploring the prescribed performance control structure is proposed.
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A Novel Autonomous Celestial Navigation Method Using Solar Oscillation Time Delay Measurement
TL;DR: A novel celestial navigation method using the solar oscillation time delay measurement is proposed, the implicit measurement model of time delay is built, and the implicit unscented Kalman filter is applied.
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A Novel Celestial Aided Time-Differenced Pulsar Navigation Method Against Ephemeris Error of Jupiter for Jupiter Exploration
TL;DR: Simulations indicate that the impact of ephemeris error of Jupiter can be eliminated effectively by the proposed celestial aided time-differenced pulsar navigation method, and can acquire better navigation performance than using celestial measurements or TDTOA measurements individually.
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