Junxiang Lian

According to our database1, Junxiang Lian authored at least 15 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
A Novel Closed-Loop Structure for Drag-Free Control Systems with ESKF and LQR.
Sensors, August, 2023

2021
High-Accuracy Guide Star Catalogue Generation with a Machine Learning Classification Algorithm.
Sensors, 2021

2018
Compensation of Horizontal Gravity Disturbances for High Precision Inertial Navigation.
Sensors, 2018

A Model of Gravity Vector Measurement Noise for Estimating Accelerometer Bias in Gravity Disturbance Compensation.
Sensors, 2018

Omission Error Analysis in Gravity Gradient Measurement.
IEEE Access, 2018

Redundant RINS Information Fusion with Application to Shipborne Transfer Alignment.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Design and Calibration of a Novel Bio-Inspired Pixelated Polarized Light Compass.
Sensors, 2017

A bionic autonomous navigation system by using polarization navigation sensor and stereo camera.
Auton. Robots, 2017

The impact of initial alignment on compensation for deflection of vertical in inertial navigation.
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

A Novel Orientation Algorithm for a Bio-inspired Polarized Light Compass.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2015
An Evaluation of Skylight Polarization Patterns for Navigation.
Sensors, 2015

2014
A Novel Angle Computation and Calibration Algorithm of Bio-Inspired Sky-Light Polarization Navigation Sensor.
Sensors, 2014

Design of a Device for Sky Light Polarization Measurements.
Sensors, 2014

2013
Thermal Calibration for the Accelerometer Triad Based on the Sequential Multiposition Observation.
IEEE Trans. Instrum. Meas., 2013

2012
Improved Iterative Calibration for Triaxial Accelerometers Based on the Optimal Observation.
Sensors, 2012


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