Results 31 to 40 of about 70,135 (188)
IEEE Access, 2020 Many positioning and tracking applications use spatially distributed sensor stations, each equipped with coherent measurement channels. The coherent data set of each node is incoherently measured to the data sets of all other nodes, avoiding expensive ...
Markus Hehn, Erik Sippel, Martin Vossiek
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Development of a Robust UFIR Filter with Consensus on Estimates for Missing Data and unknown noise statistics over WSNs [PDF]
MATEC Web of Conferences, 2019 Wireless sensor networks (WSN) are often deployed in harsh environments, where electromagnetic interference, damaged sensors, or the landscape itself cause the network to suffer from faulty links and missing data.
Vazquez-Olguin Miguel +2 more
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Particle filtering for Quantized Innovations [PDF]
, 2009 In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized Innovation Kalman filter follows a modified Riccati recursion.
Hassibi, Babak, Sukhavasi, Ravi Teja
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The Kalman Like Particle Filter: Optimal Estimation With Quantized Innovations/Measurements [PDF]
, 2009 We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability density conditioned on the quantized innovations can be expressed as the sum of a ...
Hassibi, Babak, Sukhavasi, Ravi Teja
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Distributed estimation through randomized gossip Kalman filter [PDF]
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009 In this paper we consider the problem of estimating a random process from noisy measurements, collected by a sensor network. We analyze a distributed two-stage algorithm. The first stage is a Kalman-like estimate update, in which each agent makes use only of its own measurements.
DEL FAVERO, SIMONE, ZAMPIERI, SANDRO
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Distributed Kalman filter via Gaussian Belief Propagation [PDF]
2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008 8 pages, 3 figures, appeared in the 46th Annual Allerton Conference on Communication, Control and Computing, Allerton House, Illinois, Sept ...
Bickson, Danny +2 more
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Impact of the non-Gaussian measurement noise on the performance of state-of-the-art state estimators for distribution systems [PDF]
Serbian Journal of Electrical EngineeringThis paper aims to investigate the impact of non-Gaussian measurement noise on state estimation (SE) results in distribution systems. To this end, the measurement noise is assumed to be distributed according to Gaussian or one of the following ...
Čubonović Stefan +2 more
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Distributed spectrum sensing in rem based cognitive radio networks [PDF]
مجله مدل سازی در مهندسی, 2019 Ever increasing development of wireless devices and wireless networks have increased the value of spectral space. Many efforts have been conducted to increase spectral utilization.
nematollah Ezzati, hassan Taheri
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AerospaceAero-engine performance monitoring is a core component of the engine health management system and an important approach to enhancing flight safety and reliability.
Chengjiu Wang +4 more
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Distributing the Kalman Filter for Large-Scale Systems
, 2008 This paper derives a \emph{distributed} Kalman filter to estimate a sparsely connected, large-scale, $n-$dimensional, dynamical system monitored by a network of $N$ sensors. Local Kalman filters are implemented on the ($n_l-$dimensional, where $n_l\ll n$)
Khan, Usman A., Moura, Jose M. F.
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