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
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.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Factorization Methods for Discrete Sequential Estimation
(1977) · Mathematics in Science and Engineering · doi:10.1016/s0076-5392(08)x6052-7 · Cited by 1,847
Speyer, J. (1979) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1979.1101973 · Cited by 386
Combining and updating of local estimates and regional maps along sets of one-dimensional tracks
Willsky, A., Bello, M., Castanon, D., Levy, B., & Verghese, G. (1982) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1982.1103019 · Cited by 243
Distributed estimation algorithms for nonlinear systems
Castañón, D. A., & Teneketzis, D. (1985) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1985.1103972 · Cited by 123
A scattering framework for decentralized estimation problems
Levy, B. C., Castañón, D. A., Verghese, G. C., & Willsky, A. S. (1983) · Automatica · doi:10.1016/0005-1098(83)90051-1 · Cited by 58
A decentralized square root information filter/smoother
BIERMAN, G. J., & Belzer, M. R. (1985) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.1985.268912 · Cited by 41
Kerr, T. H. (1985) · Cited by 28
Chang, T.-S. (1980) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1980.1102389 · Cited by 21
Cited by
Global Positioning System: Theory and Applications, Volume II
(1996) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/4.866395 · Cited by 1,371
Distributed Fusion Architectures and Algorithms for Target Tracking
Liggins, M. E., Chong, C.-Y., Kadar, I., Alford, M. G., Vannicola, V., & Thomopoulos, S. (1997) · Proceedings of the IEEE · doi:10.1109/jproc.1997.554211 · Cited by 353
Comparison of federated and centralized Kalman filters with fault detection considerations
Lawrence, P. J., & Berarducci, M. P. (2002) · Proceedings of 1994 IEEE Position, Location and Navigation Symposium - PLANS'94 · doi:10.1109/plans.1994.303380 · Cited by 17
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Federated square root filter for decentralized parallel processors. https://app.cochat.ai/papers/10.1109/7.106130
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.