TY - GEN
T1 - Group tracking based on hypothesis management aided MCMC-PF algorithm
AU - Wang, Jun
AU - Yin, Han
AU - Wei, Shaoming
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/10/4
Y1 - 2017/10/4
N2 - Group tracking based on Markov Chain Monte Carlo particle filter (MCMC-PF) algorithm has high accuracy of individual target tracking and group tracking, but the main problem of MCMC-PF algorithm is calculation burden, that's because it considers all kinds of hypotheses between state vector and measurement vector in the observation model. Therefore, in this paper, we originally use the results of data association as a prior to do the hypotheses management, which will reduce the variety of feasible hypotheses. We also raise a new method for the target state proposal based on group information and Kalman framework. In the end, simulation results demonstrate that the new algorithms can track the individual target and infer the correct group structure with less time consumption than previous work.
AB - Group tracking based on Markov Chain Monte Carlo particle filter (MCMC-PF) algorithm has high accuracy of individual target tracking and group tracking, but the main problem of MCMC-PF algorithm is calculation burden, that's because it considers all kinds of hypotheses between state vector and measurement vector in the observation model. Therefore, in this paper, we originally use the results of data association as a prior to do the hypotheses management, which will reduce the variety of feasible hypotheses. We also raise a new method for the target state proposal based on group information and Kalman framework. In the end, simulation results demonstrate that the new algorithms can track the individual target and infer the correct group structure with less time consumption than previous work.
KW - Group tracking
KW - Hypothesis management
KW - Kalman
KW - MCMC-PF algorithm
UR - https://www.scopus.com/pages/publications/85034662060
U2 - 10.1109/RADAR.2016.8059259
DO - 10.1109/RADAR.2016.8059259
M3 - 会议稿件
AN - SCOPUS:85034662060
T3 - 2016 CIE International Conference on Radar, RADAR 2016
BT - 2016 CIE International Conference on Radar, RADAR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 CIE International Conference on Radar, RADAR 2016
Y2 - 10 October 2016 through 13 October 2016
ER -