Results 101 to 110 of about 202,753 (224)

Optimal Kalman Filtering for a Class of State Delay Systems with Randomly Multiple Sensor Delays

Abstract and Applied Analysis, 2014
The optimal Kalman filtering problem is investigated for a class of discrete state delay stochastic systems with randomly multiple sensor delays. The phenomenon of measurement delay occurs in a random way and the delay rate for each sensor is described ...
Dongyan Chen, Long Xu
doaj   +1 more source

Distributed angle‐only orbit determination algorithm for non‐cooperative spacecraft based on factor graph

IET Radar, Sonar & Navigation
Bayesian filtering provides an effective approach for the orbit determination of a non‐cooperative target using angle measurements from multiple CubeSats.
Zhixun Zhang, Keke Zhang, Leizheng Shu, Zhencai Zhu, Meijiang Zhou   +4 more
doaj   +1 more source

Robust distributed Kalman filtering with event-triggered communication [PDF]

Journal of the Franklin Institute, 2022
Davide Ghion, Mattia Zorzi
semanticscholar   +1 more source

Recursive Estimation of Orientation Based on the Bingham Distribution [PDF]

, 2013
Directional estimation is a common problem in many tracking applications. Traditional filters such as the Kalman filter perform poorly because they fail to take the periodic nature of the problem into account.
Gilitschenski, Igor, Hanebeck, Uwe D., Julier, Simon, Kurz, Gerhard   +3 more
core  

Communication-Efficient Distributed Kalman Filtering Using ADMM

IEEE Transactions on Automatic Control
This paper addresses the problem of optimal linear filtering in a network of local estimators, commonly referred to as distributed Kalman filtering (DKF). The DKF problem is formulated within a distributed optimization framework, where coupling constraints require the exchange of local state and covariance updates between neighboring nodes to achieve ...
Kumar Kundan, Iqbal Muhammad, Sarkka Simo   +2 more
openaire   +2 more sources

Robust Estimation Fusion in Wireless Senor Networks with Outliers and Correlated Noises

International Journal of Distributed Sensor Networks, 2014
This paper addresses the problem of estimation fusion in a distributed wireless sensor network (WSN) under the following conditions: (i) sensor noises are contaminated by outliers or gross errors; (ii) process noise and sensor noises are correlated; (iii)
Yan Zhou, Dongli Wang, Tingrui Pei, Shujuan Tian   +3 more
doaj   +1 more source

Kalman Filtering of Distributed Time Series

, 2017
7 pages, 9 figures, International Conference on Control Systems and Computer Science ...
Stefanoiu, Dan, Culita, Janetta
openaire   +2 more sources

Distributed Kalman Filtering in Presence of Unknown Outer Network Actuations

IEEE Control Systems Letters, 2019
This letter presents a fully distributed approach for tracking state vector sequences over sensor networks in presence of unknown actuations. The problem arises in large-scale systems where modeling the full dynamics becomes impractical.
S. Talebi, Stefan Werner
semanticscholar   +1 more source

Optimally (Distributional-)Robust Kalman Filtering

, 2010
We present optimality results for robust Kalman filtering where robustness is understood in a distributional sense, i.e.; we enlarge the distribution assumptions made in the ideal model by suitable neighborhoods. This allows for outliers which in our context may be system-endogenous or -exogenous, which induces the somewhat conflicting goals of ...
openaire   +2 more sources

Distributed Widely Linear Complex Kalman Filtering

, 2013
We introduce cooperative sequential state space estimation in the domain of augmented complex statistics, whereby nodes in a network collaborate locally to estimate noncircular complex signals. For rigour, a distributed augmented (widely linear) complex Kalman filter (D-ACKF) suited to the generality of complex signals is introduced, allowing for ...
Dini, Dahir H., Kanna, Sithan, Mandic, Danilo P.   +2 more
openaire   +2 more sources