TY - GEN
T1 - Multi-Target Tracking in Distributed Wireless Sensor Networks with Packet Dropout
AU - Bu, Lingchao
AU - Li, Huiping
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper investigates a distributed multi-target tracking (DMTT) method based on random finite sets (RFS) in distributed wireless sensor networks (DWSNs) with packet dropout. Based on the local cardinality probability hypothesis density (CPHD) filter, a consensus fusion method with information compensation (CF-IC) is proposed. The proposed method compensates the lost target information based on prior information and motion model, when some targets are lost. Finally, the performance of proposed CF-IC is evaluated through simulation experiments.
AB - This paper investigates a distributed multi-target tracking (DMTT) method based on random finite sets (RFS) in distributed wireless sensor networks (DWSNs) with packet dropout. Based on the local cardinality probability hypothesis density (CPHD) filter, a consensus fusion method with information compensation (CF-IC) is proposed. The proposed method compensates the lost target information based on prior information and motion model, when some targets are lost. Finally, the performance of proposed CF-IC is evaluated through simulation experiments.
UR - https://www.scopus.com/pages/publications/85200399726
U2 - 10.1109/ICCA62789.2024.10591889
DO - 10.1109/ICCA62789.2024.10591889
M3 - 会议稿件
AN - SCOPUS:85200399726
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 930
EP - 935
BT - 2024 IEEE 18th International Conference on Control and Automation, ICCA 2024
PB - IEEE Computer Society
T2 - 18th IEEE International Conference on Control and Automation, ICCA 2024
Y2 - 18 June 2024 through 21 June 2024
ER -