Results 51 to 60 of about 202,753 (224)
Distributed Extended Kalman Filtering Based Techniques for 3-D UAV Jamming Localization
Wireless networks are vulnerable to jamming attacks. Jamming in wireless communication becomes a major research problem due to ease in Unmanned Aerial Vehicle (UAV) launching and blocking of communication channels.
Waleed Aldosari +3 more
doaj +1 more source
Bibliographic Review on Distributed Kalman Filtering [PDF]
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 distributed Kalman filtering (DKF) is provided.\ud The paper contains a ...
Khalid , Dr. Haris M. +1 more
core
Trust-based distributed Kalman filtering for target tracking under malicious cyber attacks
As one of the widely used applications in wireless sensor networks, target tracking has attracted considerable attention. Although many tracking techniques have been developed, it is still a challenging problem if the network is under cyber attacks ...
Chen Liang, Fuxi Wen, Zhongmin Wang
semanticscholar +1 more source
Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers
The problem of consensus-based distributed tracking in wireless sensor networks (WSNs) with switching network topologies and outlier-corrupted sensor observations is considered.
Yan Zhou +3 more
doaj +1 more source
Performance Analysis of Distributed Kalman Filtering With Partial Diffusion Over Noisy Network
The performance of a partial diffusion Kalman filtering (PDKF) algorithm for the networks with noisy links is studied here. A closed-form expression for the steady-state mean square deviation is then derived and theoretically shown that when the links ...
Vahid Vahidpour +4 more
semanticscholar +1 more source
Distributed Fusion Receding Horizon Filtering in Linear Stochastic Systems
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 +4 more
doaj +1 more source
Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks [PDF]
The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the problem of tracking a target dynamic model using a time-varying network of heterogeneous sensing agents.
Bandyopadhyay, Saptarshi, Chung, Soon-Jo
core +1 more source
Consensus-based joint target tracking and sensor localization
In this paper, consensus-based Kalman filtering is extended to deal with the problem of joint target tracking and sensor self-localization in a distributed wireless sensor network.
Battistelli, Giorgio +3 more
core +1 more source
This paper proposes an approach of target tracking of a ground target for UAVs using Optimal Two-Stage Cubature Kalman Filter and Improved Coordinated Lateral Guidance Law.
Wei Jiang, Yongxi Lyu, Jingping Shi
doaj +1 more source
Robust Gaussian Filtering using a Pseudo Measurement
Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette +6 more
core +1 more source

