ORCID Profile
0000-0002-4134-901X
Current Organisation
UNSW Sydney
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 05-2019
DOI: 10.2514/1.G001847
Publisher: Elsevier BV
Date: 08-2017
Publisher: MDPI AG
Date: 18-11-2020
DOI: 10.3390/S20226595
Abstract: Data association is a crucial component of multiple target tracking, in which each measurement obtained by the sensor can be determined whether it belongs to the target. However, many methods reported in the literature may not be able to ensure the accuracy and low computational complexity during the association process, especially in the presence of dense clutters. In this paper, a novel data association method based on reinforcement learning (RL), i.e., the so-called RL-JPDA method, has been proposed for solving the aforementioned problem. In the presented method, the RL is leveraged to acquire available information of measurements. In addition, the motion characteristics of the targets are utilized to ensure the accuracy of the association results. Experiments are performed to compare the proposed method with the global nearest neighbor data association method, the joint probabilistic data association method, the fuzzy optimal membership data association method and the intuitionistic fuzzy joint probabilistic data association method. The results show that the proposed method yields a shorter execution time compared to other methods. Furthermore, it can obtain an effective and feasible estimation in the environment with dense clutters.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Elsevier BV
Date: 10-2020
Publisher: American Geophysical Union (AGU)
Date: 10-2018
DOI: 10.1029/2018JA025700
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 07-2020
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 2020
DOI: 10.2514/1.G004112
Publisher: Springer Science and Business Media LLC
Date: 18-04-2018
Publisher: Springer Science and Business Media LLC
Date: 29-01-2022
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 09-2019
DOI: 10.2514/1.G004232
Publisher: Elsevier BV
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 05-2016
Publisher: Elsevier BV
Date: 10-2016
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/723414
Abstract: With the ever-increasing number of satellites in Low Earth Orbit (LEO) for scientific missions, the precise determination of the position and velocity of the satellite is a necessity. GPS (Global Positioning System) based reduced-dynamic orbit determination (RPOD) method is commonly used in the post processing with high precision. This paper presents a sequential RPOD strategy for LEO satellite in the framework of Extended Kalman Filter (EKF). Precise Point Positioning (PPP) technique is used to process the GPS observations, with carrier phase ambiguity resolution using Integer Phase Clocks (IPCs) products. A set of GRACE (Gravity Recovery And Climate Experiment) mission data is used to test and validate the RPOD performance. Results indicate that orbit determination accuracy could be improved by 15% in terms of 3D RMS error in comparison with traditional RPOD method with float ambiguity solutions.
Publisher: Elsevier BV
Date: 10-2018
Publisher: American Geophysical Union (AGU)
Date: 2020
DOI: 10.1029/2019SW002336
Abstract: Many thermospheric mass density (TMD) variations have been recognized in observations and physical simulations however, their impact on the low‐Earth‐orbit satellites has not been fully evaluated. The present study investigates the quantitative impact of periodic spatiotemporal TMD variations modulated by the empirical DTM2013 model. Also considered are two small‐scale variations, that is, the equatorial mass anomaly and the midnight density maximum, which are reproduced by the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model. This investigation is performed through a 1‐day orbit prediction (OP) simulation for a 400‐km circular orbit. The results show that the impact of TMD variations during solar maximum is 1 order of magnitude larger than that during solar minimum. The dominant impact has been found in the along‐track direction. Semiannual and semidiurnal variations in TMD exert the most significant impact on OP among the intra‐annual and intradiurnal variations, respectively. The zero mean periodic variations in TMD may not significantly affect the predicted orbit but increase the orbital uncertainty if their periods are shorter than the time span of OP. Additionally, the equatorial mass anomaly creates a mean orbit difference of 50 m (5 m) with a standard deviation of 30 m (3 m) in 1‐day OP during high (low) solar activity. The midnight density maximum exhibits a stronger impact in the order of 150±30 and 15±6 m during solar maximum and solar minimum, respectively. This study makes clear that careful selection of TMD variations is of great importance to balance the trade‐off between efficiency and accuracy in OP problems.
Publisher: Optica Publishing Group
Date: 15-03-2021
DOI: 10.1364/OL.419204
Abstract: A discrete-time probability model is proposed to predict the detection performance of the Geiger-mode avalanche photodiode array. This model is established by considering multiple influencing factors, and crosstalk is characterized in the form of a transition matrix during the modeling process. The verification experiment shows that the results are consistent with previous results for a crosstalk-free scenario. The performance analysis also indicates that the array detection performance decreases approximately linearly with the increase of crosstalk probability. When the crosstalk probability is 20%, compared with the scenario without considering crosstalk effects, the deviation of array detection probability reaches up to 27.05%.
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: Elsevier BV
Date: 2021
Publisher: IEEE
Date: 22-05-2021
Publisher: Wiley
Date: 09-02-2020
Publisher: Elsevier BV
Date: 03-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-10-2021
Publisher: Elsevier BV
Date: 04-2020
Publisher: Elsevier BV
Date: 11-2018
No related grants have been discovered for Yang Yang.