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Distributed Kalman filtering: a bibliographic review
In recent years, a compelling need has arisen to understand the effects of distributed
information structures on estimation and filtering. In this study, a bibliographical review on …
information structures on estimation and filtering. In this study, a bibliographical review on …
Overview and GNC design of the CubeSat Proximity Operations Demonstration (CPOD) mission
CWT Roscoe, JJ Westphal, E Mosleh - Acta Astronautica, 2018 - Elsevier
Abstract The CubeSat Proximity Operations Demonstration (CPOD) mission will
demonstrate rendezvous, proximity operations, and docking with a pair of 3U CubeSats …
demonstrate rendezvous, proximity operations, and docking with a pair of 3U CubeSats …
A measurement fusion algorithm of active and passive sensors based on angle association for multi-target tracking
Y Zhang, A Shang, W Zhang, Z Liu, Z Li, H Ji, Z Su - Information Fusion, 2024 - Elsevier
Multi-target tracking among different types of sensors is facing great challenge in fully
utilizing various types of measurements. To this end, this paper presents a measurement …
utilizing various types of measurements. To this end, this paper presents a measurement …
[PDF][PDF] Bibliographic review on distributed Kalman filtering
In recent years, a compelling need has arisen to understand the effects of distributed
information structures on estimation and filtering. In this paper, a bibliographical review on …
information structures on estimation and filtering. In this paper, a bibliographical review on …
Continuous-discrete multiple target tracking with out-of-sequence measurements
This paper derives the optimal Bayesian processing of an out-of-sequence (OOS) set of
measurements in continuous-time for multiple target tracking. We consider a multi-target …
measurements in continuous-time for multiple target tracking. We consider a multi-target …
Optimal update with multiple out-of-sequence measurements with arbitrary arriving order
In multisensor target tracking systems receiving out-of-sequence measurements (OOSMs)
from local sensors is a common situation. In the last decade many algorithms have been …
from local sensors is a common situation. In the last decade many algorithms have been …
Multisensor fusion for linear control systems with asynchronous, out-of-sequence and erroneous data
This paper presents a set of new centralized algorithms for estimating the state of linear
dynamic Multiple-Input Multiple-Output (MIMO) control systems with asynchronous, non …
dynamic Multiple-Input Multiple-Output (MIMO) control systems with asynchronous, non …
Multisensor Multitarget Tracking Arithmetic Average Fusion Method Based on Probabilistic Time Window
K Wang, Q Zhang, X Hu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The deployment of sensors in multisensor network systems needs to measure the actual
state of the target. There may be significant errors in transmitting information to each sensor …
state of the target. There may be significant errors in transmitting information to each sensor …
Track to track fusion using out-of-sequence track information
A Novoselsky, SE Sklarz… - 2007 10th International …, 2007 - ieeexplore.ieee.org
Fusing out-of-sequence information is a very important problem for multi-sensor target
tracking systems. The challenge is in dealing with measurements that arrive from the various …
tracking systems. The challenge is in dealing with measurements that arrive from the various …
Multisensor out of sequence data fusion for estimating the state of discrete control systems
The fusion center of a complex control system estimates its state with the information
provided by different sensors. Physically distributed sensors, communication networks, pre …
provided by different sensors. Physically distributed sensors, communication networks, pre …