Results 71 to 80 of about 643,482 (190)

Distributed sensor fusion estimation algorithms based on Kalman Filtering [PDF]

ITM Web of Conferences
Efficient distributed sensor fusion is critical for reliable state estimation in applications such as autonomous vehicles, robotics, and environmental monitoring.
Ni Si
doaj   +1 more source

Towards symbiotic spam e-mail filtering [PDF]

, 2010
This position paper discusses the use of symbiotic filtering, a novel distributed data mining approach that combines contentbased and collaborative filtering for spam ...
Cortez, Paulo, Lopes, Clotilde, Sousa, Pedro   +2 more
core  

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

Distributed Box Particle Filtering for Target Tracking in Sensor Networks

International Journal of Distributed Sensor Networks, 2015
Distributed target tracking is a significant technique and is widely used in many applications. Combined with the interval analysis, box particle filtering (BPF) has been proposed to solve the problem of Bayesian filtering when the uncertainties in the ...
Ying Liu, Hao Liu
doaj   +1 more source

Distributed Kalman filtering

, 2012
In this chapter, the theory and analytical development of distributed Kalman filtering based on various methods are provided. In one method, the weighted averages, based on the Bayesian point of view, yield the best possible estimate of the state at a particular time instant that can be computed from the conditional probability distribution of state x ...
openaire   +1 more source

Design of filtering cable with defected conductor layer

Scientific Reports
Electrical cables, often referred to as ‘blood vessels’ and ‘nerves’ of the industry, play a vital role in the connection of electrical devices. However, traditional cables that lack distributed filtering functions are usually the primary coupling path ...
Yunan Han, Shuangqing Xiong, Chunyue Cheng, Zhaohan Liu   +3 more
doaj   +1 more source

A Distributed Asynchronous Recursive Filtering Fusion Algorithm via DP-TBD

Leida xuebao, 2018
In this paper, we address target tracking problems by the use of multiple sensors via the Dynamic Programming (DP)-based Track-Before-Detect (TBD) method.
Li Yangyang, Li Wen, Yi Wei, Kong Lingjiang   +3 more
doaj   +1 more source

Consensus State Gram Matrix Estimation for Stochastic Switching Networks from Spectral Distribution Moments

, 2017
Reaching distributed average consensus quickly and accurately over a network through iterative dynamics represents an important task in numerous distributed applications. Suitably designed filters applied to the state values can significantly improve the
Kruzick, Stephen, Moura, José M. F.
core   +1 more source

Distributed Fusion Receding Horizon Filtering in Linear Stochastic Systems

EURASIP Journal on Advances in Signal Processing, 2009
This paper presents a distributed receding horizon filtering algorithm for multisensor continuous-time linear stochastic systems. Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different ...
Il Young Song, Du Yong Kim, Yong Hoon Kim, Suk Jae Lee, Vladimir Shin   +4 more
doaj   +1 more source

Distributed Gaussian Mixture PHD Filtering Under Communication Constraints

IET Wireless Sensor Systems
The Gaussian mixture probability hypothesis density (GM‐PHD) filter is an almost exact closed‐form approximation to the Bayes‐optimal multi‐target tracking algorithm.
Shiraz Khan, Yi‐Chieh Sun, Inseok Hwang   +2 more
doaj   +1 more source