TY - GEN
T1 - Research on SR-UPF ground moving target tracking algorithm using road information
AU - Caicai, Gao
AU - Wei, Chen
PY - 2010
Y1 - 2010
N2 - A kind of tracking algorithm using square root unscented particle filter is proposed to solve nonlinear problem caused by maneuverability of target and low measurement update rate in ground moving target tracking. Unscented transform is used to transfer state estimation and covariance matrix, where the covariance matrix has been extracted. From this, importance sampling used in particle filter can be gained. Then, the state estimation which is obtained through particle filter is projected to road according to road information if it is off road. Using one ground moving target indication sensor to track a target on road, simulation results show that the proposed algorithm can effectively solve nonlinear problem in ground moving target tracking. Compared with the conventional particle filter algorithm, the proposed algorithm not only advances the tracking precision, also reduces the needed number of particles which mean less run time will be taken. Another way, tracking performance can be further improved due to using of road information.
AB - A kind of tracking algorithm using square root unscented particle filter is proposed to solve nonlinear problem caused by maneuverability of target and low measurement update rate in ground moving target tracking. Unscented transform is used to transfer state estimation and covariance matrix, where the covariance matrix has been extracted. From this, importance sampling used in particle filter can be gained. Then, the state estimation which is obtained through particle filter is projected to road according to road information if it is off road. Using one ground moving target indication sensor to track a target on road, simulation results show that the proposed algorithm can effectively solve nonlinear problem in ground moving target tracking. Compared with the conventional particle filter algorithm, the proposed algorithm not only advances the tracking precision, also reduces the needed number of particles which mean less run time will be taken. Another way, tracking performance can be further improved due to using of road information.
KW - Ground moving target
KW - Road information
KW - SR-UPF algorithm
KW - State estimate processing
KW - Target tracking
UR - https://www.scopus.com/pages/publications/78651089709
U2 - 10.1109/ICOSP.2010.5657169
DO - 10.1109/ICOSP.2010.5657169
M3 - 会议稿件
AN - SCOPUS:78651089709
SN - 9781424458981
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 1259
EP - 1262
BT - ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
T2 - 2010 IEEE 10th International Conference on Signal Processing, ICSP2010
Y2 - 24 October 2010 through 28 October 2010
ER -