TY - GEN
T1 - A Improved Histogram Probabilistic Multiple Hypothesis Tracking Algorithm for Maneuvering Weak Target
AU - Shangguan, Wei
AU - Lu, Ying
AU - Sun, Jinping
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - A improved histogram probabilistic multiple hypothesis tracking (H-PMHT) algorithm based on the extended set-membership filtering (ESMF) is proposed for maneuvering weak targets detection and tracking. As an effective track-before-detect (TBD) method, H-PMHT algorithm is applied to synthesizing target measurements from multi-frame radar observation data directly, so as to avoid the problem of information loss in traditional threshold detection. Since the prior knowledge of maneuvering weak targets in real situations is always unknown but bounded, the ESMF algorithm is applied to obtain the estimated state from the synthesized measurements. Simulation results show that the ESMF based H-PMHT algorithm is capable of detecting and tracking dim targets, and has a better performance in tracking accuracy compared with the Kalman filter based H-PMHT algorithm.
AB - A improved histogram probabilistic multiple hypothesis tracking (H-PMHT) algorithm based on the extended set-membership filtering (ESMF) is proposed for maneuvering weak targets detection and tracking. As an effective track-before-detect (TBD) method, H-PMHT algorithm is applied to synthesizing target measurements from multi-frame radar observation data directly, so as to avoid the problem of information loss in traditional threshold detection. Since the prior knowledge of maneuvering weak targets in real situations is always unknown but bounded, the ESMF algorithm is applied to obtain the estimated state from the synthesized measurements. Simulation results show that the ESMF based H-PMHT algorithm is capable of detecting and tracking dim targets, and has a better performance in tracking accuracy compared with the Kalman filter based H-PMHT algorithm.
KW - H-PMHT
KW - extended set-membership filter
KW - maneuvering weak target
KW - track-before-detect
UR - https://www.scopus.com/pages/publications/85091931793
U2 - 10.1109/ICSIDP47821.2019.9173298
DO - 10.1109/ICSIDP47821.2019.9173298
M3 - 会议稿件
AN - SCOPUS:85091931793
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -