Generalized Labeled Multi-Bernoulli Filter-Based Passive Localization and Tracking of Radiation Sources Carried by Unmanned Aerial Vehicles
This paper discusses a key technique for passive localization and tracking of radiation sources, which obtains the motion trajectory of radiation sources carried by unmanned aerial vehicles (UAVs) by continuously or periodically localizing it without the active participation of the radiation sources...
Main Authors: | Jun Zhao, Renzhou Gui, Xudong Dong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Drones |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-446X/8/3/96 |
Similar Items
-
Reduce Position and Velocity RMS Error of Non-linear Filters in LEO Satellite Radar Tracking
by: Javad Salem, et al.
Published: (2017-02-01) -
A proposal for a nonlinear Kalman filter using state dependent linear representation system and its performance analysis by numerical simulations
by: Nozomu ARAKI, et al.
Published: (2021-09-01) -
Application of Mixed Kalman Filter to Passive Radar Target Tracking
by: Wu Yong, et al.
Published: (2015-01-01) -
Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper
by: Andrew Sanghyun Lee, et al.
Published: (2023-12-01) -
Mathematical review of the attitude control mechanism for a spacecraft
by: Sudhir Kumar CHATURVEDI, et al.
Published: (2020-09-01)