The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets
Abstract
The majority of tactical weapons systems require that manned maneuverable vehicles, such as aircraft, ships, and submarines, be tracked accurately. An optimal Kalman filter has been derived for this purpose using a target model that is simple to implement and that represents closely the motions of maneuvering targets. Using this filter, parametric tracking accuracy data have been generated as a function of target maneuver characteristics, sensor observation noise, and data rate and that permits rapid a priori estimates of tracking performance to be made when maneuvering targets are to be tracked by sensors providing any combination of range, bearing, and elevation measurements.
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
Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications
Wiener, N. (1949) · The MIT Press eBooks · doi:10.7551/mitpress/2946.001.0001 · Cited by 4,826
Real-Time Tracking Filter Evaluation and Selection for Tactical Applications
Singer, R. A., & Behnke, K. W. (1971) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.1971.310257 · Cited by 124
Self-citation
Cited by
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
Liu, T., Bahl, P., & Chlamtac, I. (1998) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.709453 · Cited by 558
Contact localization and motion analysis in the ocean environment: A perspective
Hassab, J. (1983) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.1983.1145559 · Cited by 39
The generalized Kalman filter approach to adaptive underwater target tracking
El-Hawary, F., Aminzadeh, F., & Mbamalu, G. A. N. (1992) · IEEE Journal of Oceanic Engineering · doi:10.1109/48.126961 · Cited by 22
Metadata
- Authors
- Singer, R.
- Venue
- IEEE Transactions on Aerospace and Electronic Systems
- Published
- 1970-07
- Volume
- AES-6
- Issue
- 4
- Pages
- 473-483
- ISSN
- 0018-9251 (ISSN-L)
- OpenAlex
- W2083885339
- Cited by
- 1,242
- References
- 2
- FWCI
- 6.27
- 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: Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets. https://app.cochat.ai/papers/10.1109/taes.1970.310128
- The paper
- Singer, R. (1970). Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.1970.310128
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.
