TY - GEN
T1 - Time-Offset Estimation in Multisensor Tracking Systems
AU - Li, Song
AU - Cheng, Yongmei
AU - Brown, Daly
AU - Tharmarasa, Ratnasingham
AU - Zhou, Gongjian
AU - Kirubarajan, Thia
N1 - Publisher Copyright:
© 2019 ISIF-International Society of Information Fusion.
PY - 2019/7
Y1 - 2019/7
N2 - In this paper, a new algorithm is proposed for time-offset estimation in multisensor target tracking systems. First, the time offset pseudo-measurement equation is derived and calculated in both centralized and distributed scenarios, where measurements and local tracks are available at the fusion center, respectively. Second, the observability of time offset is analyzed theoretically with constant velocity (CV) and constant acceleration (CA) targets, showing that only relative time offsets between sensors are observable. Then, a two-stage relative time-offset estimation method is developed with two different formulations corresponding to different target dynamic models. Finally, simulation results show that the proposed algorithm meets the corresponding posterior Cramér-Rao lower bound (PCRLB), demonstrating the validity of the proposed algorithm.
AB - In this paper, a new algorithm is proposed for time-offset estimation in multisensor target tracking systems. First, the time offset pseudo-measurement equation is derived and calculated in both centralized and distributed scenarios, where measurements and local tracks are available at the fusion center, respectively. Second, the observability of time offset is analyzed theoretically with constant velocity (CV) and constant acceleration (CA) targets, showing that only relative time offsets between sensors are observable. Then, a two-stage relative time-offset estimation method is developed with two different formulations corresponding to different target dynamic models. Finally, simulation results show that the proposed algorithm meets the corresponding posterior Cramér-Rao lower bound (PCRLB), demonstrating the validity of the proposed algorithm.
KW - centralized and distributed fusion
KW - multisensor target tracking
KW - pseudo-measurement equation
KW - time-offset estimation
UR - http://www.scopus.com/inward/record.url?scp=85081788220&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:85081788220
T3 - FUSION 2019 - 22nd International Conference on Information Fusion
BT - FUSION 2019 - 22nd International Conference on Information Fusion
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Information Fusion, FUSION 2019
Y2 - 2 July 2019 through 5 July 2019
ER -