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Cited by 578

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Federated square root filter for decentralized parallel processors

Carlson, N.A.·1990·IEEE Transactions on Aerospace and Electronic Systems

Abstract

An efficient, federated Kalman filter is developed for use in distributed multisensor systems. The design accommodates sensor-dedicated local filters, some of which use data from a common reference subsystem. The local filters run in parallel, and provide sensor data compression via prefiltering. The master filter runs at a selectable reduced rate, fusing local filter outputs via efficient square root algorithms. Common local process noise correlations are handled by use of a conservative matrix upper bound. The federated filter yields estimates that are globally optimal or conservatively suboptimal, depending upon the master filter processing rate. This design achieves a major improvement in throughput (speed), is well suited to real-time system implementation, and enhances fault detection, isolation, and recovery capability.>

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Metadata

Authors
Carlson, N. A.
Venue
IEEE Transactions on Aerospace and Electronic Systems
Published
1990-05
Volume
26
Issue
3
Pages
517-525
ISSN
0018-9251 (ISSN-L)
OpenAlex
W2099319707
Cited by
578
References
8
FWCI
4.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Federated square root filter for decentralized parallel processors. https://app.cochat.ai/papers/10.1109/7.106130
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Carlson, N. A. (1990). Federated square root filter for decentralized parallel processors. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/7.106130

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.