TY - GEN
T1 - A Track-oriented Approach to Target Tracking with Random Finite Set Observations
AU - Li, Tiancheng
AU - Wang, Xiaoxu
AU - Liang, Yan
AU - Yan, Junkun
AU - Fan, Hongqi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - We have earlier proposed a data-driven approach to target tracking, which models the target movement by using a trajectory function of time (T-FoT) rather than a Markov model. In this work, we extend the approach to account for random finite set observations consisting of both missing and false data. More challenging, the missing and false data are generated under unknown ratios, i.e., they can not be accurately modeled. To tackle this problem, we here propose a data-driven method for identifying the real measurement of the target from clutter if the target is detected and for declaring a misdetection otherwise. Simulation is conducted to demonstrate the effectiveness of our approach, in comparison with the Bayesian-optimal approach.
AB - We have earlier proposed a data-driven approach to target tracking, which models the target movement by using a trajectory function of time (T-FoT) rather than a Markov model. In this work, we extend the approach to account for random finite set observations consisting of both missing and false data. More challenging, the missing and false data are generated under unknown ratios, i.e., they can not be accurately modeled. To tackle this problem, we here propose a data-driven method for identifying the real measurement of the target from clutter if the target is detected and for declaring a misdetection otherwise. Simulation is conducted to demonstrate the effectiveness of our approach, in comparison with the Bayesian-optimal approach.
KW - constrained estimation
KW - least squares estimation
KW - target tracking
KW - Trajectory fitting
UR - http://www.scopus.com/inward/record.url?scp=85073761183&partnerID=8YFLogxK
U2 - 10.1109/ICCAIS46528.2019.9074599
DO - 10.1109/ICCAIS46528.2019.9074599
M3 - 会议稿件
AN - SCOPUS:85073761183
T3 - ICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences
BT - ICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019
Y2 - 23 October 2019 through 26 October 2019
ER -