TY - GEN
T1 - Simultaneous Localization and Tracking for UAV-Enhanced Positioning Network
AU - Liang, Tianhao
AU - Zhang, Tingting
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The traditional Global Navigation Satellite System (GNSS)-based localization and tracking method will lead to a notable performance reduction when the navigation signals are obstructed. In this paper, by utilizing the inherent benefits of UAVs, such as reliable line-of-sight (LoS) propagation and exceptional mobility, we employ the UAVs to achieve the seamless localization and tracking. Specifically, we first analytically derive distribution of noise for the vehicle-to-UAV (V2U) measurements. Subsequently, we provide a general distributed simultaneous localization and tracking (SLAT) method of the UAV involved network via non-parametric belief propagation (NBP) algorithm, where the UAVs and vehicles are located and tracked jointly. Numerical simulations shed light on the benefits of our proposed method in terms of localization and tracking accuracy.
AB - The traditional Global Navigation Satellite System (GNSS)-based localization and tracking method will lead to a notable performance reduction when the navigation signals are obstructed. In this paper, by utilizing the inherent benefits of UAVs, such as reliable line-of-sight (LoS) propagation and exceptional mobility, we employ the UAVs to achieve the seamless localization and tracking. Specifically, we first analytically derive distribution of noise for the vehicle-to-UAV (V2U) measurements. Subsequently, we provide a general distributed simultaneous localization and tracking (SLAT) method of the UAV involved network via non-parametric belief propagation (NBP) algorithm, where the UAVs and vehicles are located and tracked jointly. Numerical simulations shed light on the benefits of our proposed method in terms of localization and tracking accuracy.
KW - UAV
KW - localization and tracking
KW - non-parametric belief propagation
UR - https://www.scopus.com/pages/publications/85181165457
U2 - 10.1109/VTC2023-Fall60731.2023.10333758
DO - 10.1109/VTC2023-Fall60731.2023.10333758
M3 - 会议稿件
AN - SCOPUS:85181165457
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Y2 - 10 October 2023 through 13 October 2023
ER -