Cooperative space object tracking using space-based optical sensors via consensus-based filters
Cooperative tracking plays a key role in space situation awareness for scenarios with a
limited number of observations or poor performance of a single sensor or both. To use the …
limited number of observations or poor performance of a single sensor or both. To use the …
Space‐Based Optical Observations on Space Debris via Multipoint of View
Z Li, Y Wang, W Zheng - International Journal of Aerospace …, 2020 - Wiley Online Library
In this paper, the space debris catalogue in LEO is fulfilled using multipoint of view (MPOV)
observations constructed by a spacecraft formation. The dual‐point of view (DPOV) …
observations constructed by a spacecraft formation. The dual‐point of view (DPOV) …
Space-Based Debris Trajectory Estimation Using Vision Sensors and Track-Based Data Fusion Techniques
ABSTRACT Resident Space Objects (RSO) are human-made objects in orbit around Earth
and can remain there for an extended period. These objects can include active satellites …
and can remain there for an extended period. These objects can include active satellites …
Space object tracking and maneuver detection via interacting multiple model cubature Kalman filters
Space object tracking and maneuver detection play an essential role in space situation
awareness (SSA). The ordinary Kalman filter and its variants may give large error due to the …
awareness (SSA). The ordinary Kalman filter and its variants may give large error due to the …
Cubature information filters using high-degree and embedded cubature rules
XC Zhang - Circuits, Systems, and Signal Processing, 2014 - Springer
The information form of the Kalman filter (KF) is preferred over standard covariance filters in
multiple sensor fusion problems. Aiming at this issue, two types of cubature information …
multiple sensor fusion problems. Aiming at this issue, two types of cubature information …
Cooperative space object tracking using consensus-based filters
Cooperative tracking plays a key role in space situation awareness (SSA) in which there are
a limited number of observations and poor tracking performance from a single sensor. To …
a limited number of observations and poor tracking performance from a single sensor. To …
Adaptive fifth-degree cubature information filter for multi-sensor bearings-only tracking
H Jiang, Y Cai - Sensors, 2018 - mdpi.com
Standard Bayesian filtering algorithms only work well when the statistical properties of
system noises are exactly known. However, this assumption is not always plausible in real …
system noises are exactly known. However, this assumption is not always plausible in real …
Improved square-root cubature information filter
In this paper, a theoretical comparison between existing the sigma-point information filter
(SPIF) framework and the unscented information filter (UIF) framework is presented. It is …
(SPIF) framework and the unscented information filter (UIF) framework is presented. It is …
Multi-UAV Doppler information fusion for target tracking based on distributed high degrees information filters
H Benzerrouk, A Nebylov, M Li - Aerospace, 2018 - mdpi.com
Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely
investigated, specifically when using modern nonlinear information filters. A high-degree …
investigated, specifically when using modern nonlinear information filters. A high-degree …
Quasi-real RFI source generation using orolia skydel LEO satellite simulator for accurate geolocation and tracking: Modeling and experimental analysis
Accurate geolocation and tracking of Radio-Frequency Interference (RFI) sources, which
affect wireless and satellite systems such as Global Navigation Satellite Systems (GNSS) …
affect wireless and satellite systems such as Global Navigation Satellite Systems (GNSS) …