2019 IEEE 58th Conference on Decision and Control (CDC) 2019
DOI: 10.1109/cdc40024.2019.9029645
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Distributed Kalman-filtering: Distributed optimization viewpoint

Abstract: We consider the Kalman-filtering problem with multiple sensors which are connected through a communication network. If all measurements are delivered to one place called fusion center and processed together, we call the process centralized Kalman-filtering (CKF). When there is no fusion center, each sensor can also solve the problem by using local measurements and exchanging information with its neighboring sensors, which is called distributed Kalman-filtering (DKF). Noting that CKF problem is a maximum likeli… Show more

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Cited by 7 publications
(2 citation statements)
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“…The LHLV reference frame can coincide with a target if there is one. Distributed filtering and estimation are becoming increasingly popular areas of research within the MAS domain 152,153 . For instance, a recent study by Timmons et al 154 used distributed Kalman filtering to estimate relative positions between FemtoSats using only range measurements inferred from signal strength in communication links.…”
Section: Swarms In Orbitmentioning
confidence: 99%
“…The LHLV reference frame can coincide with a target if there is one. Distributed filtering and estimation are becoming increasingly popular areas of research within the MAS domain 152,153 . For instance, a recent study by Timmons et al 154 used distributed Kalman filtering to estimate relative positions between FemtoSats using only range measurements inferred from signal strength in communication links.…”
Section: Swarms In Orbitmentioning
confidence: 99%
“…The proposed architecture is based on a community of trust and divides the IoT nodes based on their common interest. The study focuses on preventing on-off attacks using Kalman filtering technique [47], however, its performance needs to be validated through extensive evaluation against several other potential attacks, such as false positive and false negative, good and bad-mouthing attacks.…”
Section: Approachmentioning
confidence: 99%