Kalman filter (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Kalman filter" in English language version.

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Harvey, Andrew C. (1994). "Applications of the Kalman filter in econometrics". In Bewley, Truman (ed.). Advances in Econometrics. New York: Cambridge University Press. pp. 285f. ISBN 978-0-521-46726-1.

arxiv.org

Särkkä, S.; Ángel F. García-Fernández (2021). "Temporal Parallelization of Bayesian Smoothers". IEEE Transactions on Automatic Control. 66 (1): 299–306. arXiv:1905.13002. doi:10.1109/TAC.2020.2976316. S2CID 213695560.
Vaswani, Namrata (2008). "Kalman filtered Compressed Sensing". 2008 15th IEEE International Conference on Image Processing. pp. 893–896. arXiv:0804.0819. doi:10.1109/ICIP.2008.4711899. ISBN 978-1-4244-1765-0. S2CID 9282476.
Zachariah, Dave; Chatterjee, Saikat; Jansson, Magnus (2012). "Dynamic Iterative Pursuit". IEEE Transactions on Signal Processing. 60 (9): 4967–4972. arXiv:1206.2496. Bibcode:2012ITSP...60.4967Z. doi:10.1109/TSP.2012.2203813. S2CID 18467024.
Särkkä, Simo; Hartikainen, Jouni; Svensson, Lennart; Sandblom, Fredrik (2015-04-22). "On the relation between Gaussian process quadratures and sigma-point methods". arXiv:1504.05994 [stat.ME].

berkeley.edu

people.eecs.berkeley.edu

Walrand, Jean; Dimakis, Antonis (August 2006). Random processes in Systems -- Lecture Notes (PDF). pp. 69–70. Archived from the original (PDF) on 2019-05-07. Retrieved 2019-05-07.

books.google.com

Paul Zarchan; Howard Musoff (2000). Fundamentals of Kalman Filtering: A Practical Approach. American Institute of Aeronautics and Astronautics, Incorporated. ISBN 978-1-56347-455-2.
Lauritzen, S. L. (2002). Thiele: Pioneer in Statistics. New York: Oxford University Press. p. 41. ISBN 978-0-19-850972-1. He solves the problem of estimating the regression coefficients and predicting the values of the Brownian motion by the method of least squares and gives an elegant recursive procedure for carrying out the calculations. The procedure is nowadays known as Kalman filtering.

caltech.edu

authors.library.caltech.edu

Roweis, S; Ghahramani, Z (1999). "A unifying review of linear gaussian models" (PDF). Neural Computation. 11 (2): 305–45. doi:10.1162/089976699300016674. PMID 9950734. S2CID 2590898.

cmu.edu

frc.ri.cmu.edu

Kelly, Alonzo (1994). "A 3D state space formulation of a navigation Kalman filter for autonomous vehicles" (PDF). DTIC Document: 13. Archived (PDF) from the original on December 30, 2014. 2006 Corrected Version Archived 2017-01-10 at the Wayback Machine

doi.org

Stepanov, O. A. (15 May 2011). "Kalman filtering: Past and present. An outlook from Russia. (On the occasion of the 80th birthday of Rudolf Emil Kalman)". Gyroscopy and Navigation. 2 (2): 105. doi:10.1134/S2075108711020076. S2CID 53120402.
Fauzi, Hilman; Batool, Uzma (15 July 2019). "A Three-bar Truss Design using Single-solution Simulated Kalman Filter Optimizer". Mekatronika. 1 (2): 98–102. doi:10.15282/mekatronika.v1i2.4991. S2CID 222355496.
Lora-Millan, Julio S.; Hidalgo, Andres F.; Rocon, Eduardo (2021). "An IMUs-Based Extended Kalman Filter to Estimate Gait Lower Limb Sagittal Kinematics for the Control of Wearable Robotic Devices". IEEE Access. 9: 144540–144554. Bibcode:2021IEEEA...9n4540L. doi:10.1109/ACCESS.2021.3122160. hdl:10261/254265. ISSN 2169-3536. S2CID 239938971.
Kalita, Diana; Lyakhov, Pavel (December 2022). "Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering". Big Data and Cognitive Computing. 6 (4): 142. doi:10.3390/bdcc6040142. ISSN 2504-2289.
Azzam, M. Abdullah; Batool, Uzma; Fauzi, Hilman (15 July 2019). "Design of an Helical Spring using Single-solution Simulated Kalman Filter Optimizer". Mekatronika. 1 (2): 93–97. doi:10.15282/mekatronika.v1i2.4990. S2CID 221855079.
Wolpert, Daniel; Ghahramani, Zoubin (2000). "Computational principles of movement neuroscience". Nature Neuroscience. 3: 1212–7. doi:10.1038/81497. PMID 11127840. S2CID 736756.
Kalman, R. E. (1960). "A New Approach to Linear Filtering and Prediction Problems". Journal of Basic Engineering. 82: 35–45. doi:10.1115/1.3662552. S2CID 1242324.
Humpherys, Jeffrey (2012). "A Fresh Look at the Kalman Filter". SIAM Review. 54 (4): 801–823. doi:10.1137/100799666.
Uhlmann, Jeffrey; Julier, Simon (2022). "Gaussianity and the Kalman Filter: A Simple Yet Complicated Relationship" (PDF). Journal de Ciencia e Ingeniería. 14 (1): 21–26. doi:10.46571/JCI.2022.1.2. S2CID 251143915.
Li, Wangyan; Wang, Zidong; Wei, Guoliang; Ma, Lifeng; Hu, Jun; Ding, Derui (2015). "A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks". Discrete Dynamics in Nature and Society. 2015: 1–12. doi:10.1155/2015/683701. ISSN 1026-0226.
Li, Wangyan; Wang, Zidong; Ho, Daniel W. C.; Wei, Guoliang (2019). "On Boundedness of Error Covariances for Kalman Consensus Filtering Problems". IEEE Transactions on Automatic Control. 65 (6): 2654–2661. doi:10.1109/TAC.2019.2942826. ISSN 0018-9286. S2CID 204196474.
Lauritzen, S. L. (December 1981). "Time series analysis in 1880. A discussion of contributions made by T.N. Thiele". International Statistical Review. 49 (3): 319–331. doi:10.2307/1402616. JSTOR 1402616. He derives a recursive procedure for estimating the regression component and predicting the Brownian motion. The procedure is now known as Kalman filtering.
Gaylor, David; Lightsey, E. Glenn (2003). "GPS/INS Kalman Filter Design for Spacecraft Operating in the Proximity of International Space Station". AIAA Guidance, Navigation, and Control Conference and Exhibit. doi:10.2514/6.2003-5445. ISBN 978-1-62410-090-1.
Ingvar Strid; Karl Walentin (April 2009). "Block Kalman Filtering for Large-Scale DSGE Models". Computational Economics. 33 (3): 277–304. CiteSeerX 10.1.1.232.3790. doi:10.1007/s10614-008-9160-4. hdl:10419/81929. S2CID 3042206.
Roweis, S; Ghahramani, Z (1999). "A unifying review of linear gaussian models" (PDF). Neural Computation. 11 (2): 305–45. doi:10.1162/089976699300016674. PMID 9950734. S2CID 2590898.
Ishihara, J.Y.; Terra, M.H.; Campos, J.C.T. (2006). "Robust Kalman Filter for Descriptor Systems". IEEE Transactions on Automatic Control. 51 (8): 1354. doi:10.1109/TAC.2006.878741. S2CID 12741796.
Terra, Marco H.; Cerri, Joao P.; Ishihara, Joao Y. (2014). "Optimal Robust Linear Quadratic Regulator for Systems Subject to Uncertainties". IEEE Transactions on Automatic Control. 59 (9): 2586–2591. doi:10.1109/TAC.2014.2309282. S2CID 8810105.
Rajamani, Murali R.; Rawlings, James B. (2009). "Estimation of the disturbance structure from data using semidefinite programming and optimal weighting". Automatica. 45 (1): 142–148. doi:10.1016/j.automatica.2008.05.032. S2CID 5699674.
Bar-Shalom, Yaakov; Li, X.-Rong; Kirubarajan, Thiagalingam (2001). Estimation with Applications to Tracking and Navigation. New York, USA: John Wiley & Sons, Inc. pp. 319 ff. doi:10.1002/0471221279. ISBN 0-471-41655-X.
Three optimality tests with numerical examples are described in Peter, Matisko (2012). "Optimality Tests and Adaptive Kalman Filter". 16th IFAC Symposium on System Identification. Vol. 45. pp. 1523–1528. doi:10.3182/20120711-3-BE-2027.00011. ISBN 978-3-902823-06-9. {{cite book}}: |journal= ignored (help)
Spall, James C. (1995). "The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions". Automatica. 31 (10): 1513–1517. doi:10.1016/0005-1098(95)00069-9.
Maryak, J.L.; Spall, J.C.; Heydon, B.D. (2004). "Use of the Kalman Filter for Inference in State-Space Models with Unknown Noise Distributions". IEEE Transactions on Automatic Control. 49: 87–90. doi:10.1109/TAC.2003.821415. S2CID 21143516.
Särkkä, S.; Ángel F. García-Fernández (2021). "Temporal Parallelization of Bayesian Smoothers". IEEE Transactions on Automatic Control. 66 (1): 299–306. arXiv:1905.13002. doi:10.1109/TAC.2020.2976316. S2CID 213695560.
Masreliez, C. Johan; Martin, R D (1977). "Robust Bayesian estimation for the linear model and robustifying the Kalman filter". IEEE Transactions on Automatic Control. 22 (3): 361–371. doi:10.1109/TAC.1977.1101538.
Rauch, H.E.; Tung, F.; Striebel, C. T. (August 1965). "Maximum likelihood estimates of linear dynamic systems". AIAA Journal. 3 (8): 1445–1450. Bibcode:1965AIAAJ...3.1445R. doi:10.2514/3.3166.
Einicke, G.A. (March 2006). "Optimal and Robust Noncausal Filter Formulations". IEEE Transactions on Signal Processing. 54 (3): 1069–1077. Bibcode:2006ITSP...54.1069E. doi:10.1109/TSP.2005.863042. S2CID 15376718.
Einicke, G.A. (April 2007). "Asymptotic Optimality of the Minimum-Variance Fixed-Interval Smoother". IEEE Transactions on Signal Processing. 55 (4): 1543–1547. Bibcode:2007ITSP...55.1543E. doi:10.1109/TSP.2006.889402. S2CID 16218530.
Einicke, G.A.; Ralston, J.C.; Hargrave, C.O.; Reid, D.C.; Hainsworth, D.W. (December 2008). "Longwall Mining Automation. An Application of Minimum-Variance Smoothing". IEEE Control Systems Magazine. 28 (6): 28–37. doi:10.1109/MCS.2008.929281. S2CID 36072082.
Einicke, G.A. (December 2009). "Asymptotic Optimality of the Minimum-Variance Fixed-Interval Smoother". IEEE Transactions on Automatic Control. 54 (12): 2904–2908. Bibcode:2007ITSP...55.1543E. doi:10.1109/TSP.2006.889402. S2CID 16218530.
Einicke, G.A. (December 2014). "Iterative Frequency-Weighted Filtering and Smoothing Procedures". IEEE Signal Processing Letters. 21 (12): 1467–1470. Bibcode:2014ISPL...21.1467E. doi:10.1109/LSP.2014.2341641. S2CID 13569109.
Biswas, Sanat K.; Qiao, Li; Dempster, Andrew G. (2020-12-01). "A quantified approach of predicting suitability of using the Unscented Kalman Filter in a non-linear application". Automatica. 122: 109241. doi:10.1016/j.automatica.2020.109241. ISSN 0005-1098. S2CID 225028760.
Julier, Simon J.; Uhlmann, Jeffrey K. (2004). "Unscented filtering and nonlinear estimation". Proceedings of the IEEE. 92 (3): 401–422. doi:10.1109/JPROC.2003.823141. S2CID 9614092.
Julier, Simon J.; Uhlmann, Jeffrey K. (1997). "New extension of the Kalman filter to nonlinear systems" (PDF). In Kadar, Ivan (ed.). Signal Processing, Sensor Fusion, and Target Recognition VI. Proceedings of SPIE. Vol. 3. pp. 182–193. Bibcode:1997SPIE.3068..182J. CiteSeerX 10.1.1.5.2891. doi:10.1117/12.280797. S2CID 7937456. Retrieved 2008-05-03.
Menegaz, H. M. T.; Ishihara, J. Y.; Borges, G. A.; Vargas, A. N. (October 2015). "A Systematization of the Unscented Kalman Filter Theory". IEEE Transactions on Automatic Control. 60 (10): 2583–2598. doi:10.1109/tac.2015.2404511. hdl:20.500.11824/251. ISSN 0018-9286. S2CID 12606055.
Gustafsson, Fredrik; Hendeby, Gustaf (2012). "Some Relations Between Extended and Unscented Kalman Filters". IEEE Transactions on Signal Processing. 60 (2): 545–555. Bibcode:2012ITSP...60..545G. doi:10.1109/tsp.2011.2172431. S2CID 17876531.
Van der Merwe, R.; Wan, E.A. (2001). "The square-root unscented Kalman filter for state and parameter-estimation". 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221). Vol. 6. pp. 3461–3464. doi:10.1109/ICASSP.2001.940586. ISBN 0-7803-7041-4. S2CID 7290857.
Bitzer, S. (2016). "The UKF exposed: How it works, when it works and when it's better to sample". doi:10.5281/zenodo.44386. {{cite journal}}: Cite journal requires |journal= (help)
Wan, E.A.; Van Der Merwe, R. (2000). "The unscented Kalman filter for nonlinear estimation" (PDF). Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373). p. 153. CiteSeerX 10.1.1.361.9373. doi:10.1109/ASSPCC.2000.882463. ISBN 978-0-7803-5800-3. S2CID 13992571. Archived from the original (PDF) on 2012-03-03. Retrieved 2010-01-31.
Sarkka, Simo (September 2007). "On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems". IEEE Transactions on Automatic Control. 52 (9): 1631–1641. doi:10.1109/TAC.2007.904453.
Burkhart, Michael C.; Brandman, David M.; Franco, Brian; Hochberg, Leigh; Harrison, Matthew T. (2020). "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models". Neural Computation. 32 (5): 969–1017. doi:10.1162/neco_a_01275. PMC 8259355. PMID 32187000. S2CID 212748230. Retrieved 26 March 2021.
Burkhart, Michael C. (2019). A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding (Thesis). Providence, RI, USA: Brown University. doi:10.26300/nhfp-xv22.
Brandman, David M.; Burkhart, Michael C.; Kelemen, Jessica; Franco, Brian; Harrison, Matthew T.; Hochberg, Leigh R. (2018). "Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression". Neural Computation. 30 (11): 2986–3008. doi:10.1162/neco_a_01129. PMC 6685768. PMID 30216140. Retrieved 26 March 2021.
Bar-Shalom, Yaakov; Li, X.-Rong; Kirubarajan, Thiagalingam (2001). Estimation with Applications to Tracking and Navigation. New York, USA: John Wiley & Sons, Inc. pp. 421 ff. doi:10.1002/0471221279. ISBN 0-471-41655-X.
Kailath, T. (1968). "An innovations approach to least-squares estimation--Part I: Linear filtering in additive white noise". IEEE Transactions on Automatic Control. 13 (6): 646–655. doi:10.1109/TAC.1968.1099025.
Vaswani, Namrata (2008). "Kalman filtered Compressed Sensing". 2008 15th IEEE International Conference on Image Processing. pp. 893–896. arXiv:0804.0819. doi:10.1109/ICIP.2008.4711899. ISBN 978-1-4244-1765-0. S2CID 9282476.
Carmi, Avishy; Gurfil, Pini; Kanevsky, Dimitri (2010). "Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms". IEEE Transactions on Signal Processing. 58 (4): 2405–2409. Bibcode:2010ITSP...58.2405C. doi:10.1109/TSP.2009.2038959. S2CID 10569233.
Zachariah, Dave; Chatterjee, Saikat; Jansson, Magnus (2012). "Dynamic Iterative Pursuit". IEEE Transactions on Signal Processing. 60 (9): 4967–4972. arXiv:1206.2496. Bibcode:2012ITSP...60.4967Z. doi:10.1109/TSP.2012.2203813. S2CID 18467024.
Vasebi, Amir; Partovibakhsh, Maral; Bathaee, S. Mohammad Taghi (2007). "A novel combined battery model for state-of-charge estimation in lead-acid batteries based on extended Kalman filter for hybrid electric vehicle applications". Journal of Power Sources. 174 (1): 30–40. Bibcode:2007JPS...174...30V. doi:10.1016/j.jpowsour.2007.04.011.
Vasebi, A.; Bathaee, S.M.T.; Partovibakhsh, M. (2008). "Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter". Energy Conversion and Management. 49 (1): 75–82. Bibcode:2008ECM....49...75V. doi:10.1016/j.enconman.2007.05.017.
Fruhwirth, R. (1987). "Application of Kalman filtering to track and vertex fitting". Nuclear Instruments and Methods in Physics Research Section A. 262 (2–3): 444–450. Bibcode:1987NIMPA.262..444F. doi:10.1016/0168-9002(87)90887-4.
Boulfelfel, D.; Rangayyan, R.M.; Hahn, L.J.; Kloiber, R.; Kuduvalli, G.R. (1994). "Two-dimensional restoration of single photon emission computed tomography images using the Kalman filter". IEEE Transactions on Medical Imaging. 13 (1): 102–109. doi:10.1109/42.276148. PMID 18218487.
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dtic.mil

apps.dtic.mil

Kelly, Alonzo (1994). "A 3D state space formulation of a navigation Kalman filter for autonomous vehicles" (PDF). DTIC Document: 13. Archived (PDF) from the original on December 30, 2014. 2006 Corrected Version Archived 2017-01-10 at the Wayback Machine

github.com

Bitzer, S. (2016). "The UKF exposed: How it works, when it works and when it's better to sample". doi:10.5281/zenodo.44386. {{cite journal}}: Cite journal requires |journal= (help)

handle.net

hdl.handle.net

Lora-Millan, Julio S.; Hidalgo, Andres F.; Rocon, Eduardo (2021). "An IMUs-Based Extended Kalman Filter to Estimate Gait Lower Limb Sagittal Kinematics for the Control of Wearable Robotic Devices". IEEE Access. 9: 144540–144554. Bibcode:2021IEEEA...9n4540L. doi:10.1109/ACCESS.2021.3122160. hdl:10261/254265. ISSN 2169-3536. S2CID 239938971.
Ingvar Strid; Karl Walentin (April 2009). "Block Kalman Filtering for Large-Scale DSGE Models". Computational Economics. 33 (3): 277–304. CiteSeerX 10.1.1.232.3790. doi:10.1007/s10614-008-9160-4. hdl:10419/81929. S2CID 3042206.
Menegaz, H. M. T.; Ishihara, J. Y.; Borges, G. A.; Vargas, A. N. (October 2015). "A Systematization of the Unscented Kalman Filter Theory". IEEE Transactions on Automatic Control. 60 (10): 2583–2598. doi:10.1109/tac.2015.2404511. hdl:20.500.11824/251. ISSN 0018-9286. S2CID 12606055.

harvard.edu

ui.adsabs.harvard.edu

Lora-Millan, Julio S.; Hidalgo, Andres F.; Rocon, Eduardo (2021). "An IMUs-Based Extended Kalman Filter to Estimate Gait Lower Limb Sagittal Kinematics for the Control of Wearable Robotic Devices". IEEE Access. 9: 144540–144554. Bibcode:2021IEEEA...9n4540L. doi:10.1109/ACCESS.2021.3122160. hdl:10261/254265. ISSN 2169-3536. S2CID 239938971.
Bierman, G.J. (1977). "Factorization Methods for Discrete Sequential Estimation". Factorization Methods for Discrete Sequential Estimation. Bibcode:1977fmds.book.....B.
Rauch, H.E.; Tung, F.; Striebel, C. T. (August 1965). "Maximum likelihood estimates of linear dynamic systems". AIAA Journal. 3 (8): 1445–1450. Bibcode:1965AIAAJ...3.1445R. doi:10.2514/3.3166.
Einicke, G.A. (March 2006). "Optimal and Robust Noncausal Filter Formulations". IEEE Transactions on Signal Processing. 54 (3): 1069–1077. Bibcode:2006ITSP...54.1069E. doi:10.1109/TSP.2005.863042. S2CID 15376718.
Einicke, G.A. (April 2007). "Asymptotic Optimality of the Minimum-Variance Fixed-Interval Smoother". IEEE Transactions on Signal Processing. 55 (4): 1543–1547. Bibcode:2007ITSP...55.1543E. doi:10.1109/TSP.2006.889402. S2CID 16218530.
Einicke, G.A. (December 2009). "Asymptotic Optimality of the Minimum-Variance Fixed-Interval Smoother". IEEE Transactions on Automatic Control. 54 (12): 2904–2908. Bibcode:2007ITSP...55.1543E. doi:10.1109/TSP.2006.889402. S2CID 16218530.
Einicke, G.A. (December 2014). "Iterative Frequency-Weighted Filtering and Smoothing Procedures". IEEE Signal Processing Letters. 21 (12): 1467–1470. Bibcode:2014ISPL...21.1467E. doi:10.1109/LSP.2014.2341641. S2CID 13569109.
Julier, Simon J.; Uhlmann, Jeffrey K. (1997). "New extension of the Kalman filter to nonlinear systems" (PDF). In Kadar, Ivan (ed.). Signal Processing, Sensor Fusion, and Target Recognition VI. Proceedings of SPIE. Vol. 3. pp. 182–193. Bibcode:1997SPIE.3068..182J. CiteSeerX 10.1.1.5.2891. doi:10.1117/12.280797. S2CID 7937456. Retrieved 2008-05-03.
Gustafsson, Fredrik; Hendeby, Gustaf (2012). "Some Relations Between Extended and Unscented Kalman Filters". IEEE Transactions on Signal Processing. 60 (2): 545–555. Bibcode:2012ITSP...60..545G. doi:10.1109/tsp.2011.2172431. S2CID 17876531.
Carmi, Avishy; Gurfil, Pini; Kanevsky, Dimitri (2010). "Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms". IEEE Transactions on Signal Processing. 58 (4): 2405–2409. Bibcode:2010ITSP...58.2405C. doi:10.1109/TSP.2009.2038959. S2CID 10569233.
Zachariah, Dave; Chatterjee, Saikat; Jansson, Magnus (2012). "Dynamic Iterative Pursuit". IEEE Transactions on Signal Processing. 60 (9): 4967–4972. arXiv:1206.2496. Bibcode:2012ITSP...60.4967Z. doi:10.1109/TSP.2012.2203813. S2CID 18467024.
Vasebi, Amir; Partovibakhsh, Maral; Bathaee, S. Mohammad Taghi (2007). "A novel combined battery model for state-of-charge estimation in lead-acid batteries based on extended Kalman filter for hybrid electric vehicle applications". Journal of Power Sources. 174 (1): 30–40. Bibcode:2007JPS...174...30V. doi:10.1016/j.jpowsour.2007.04.011.
Vasebi, A.; Bathaee, S.M.T.; Partovibakhsh, M. (2008). "Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter". Energy Conversion and Management. 49 (1): 75–82. Bibcode:2008ECM....49...75V. doi:10.1016/j.enconman.2007.05.017.
Fruhwirth, R. (1987). "Application of Kalman filtering to track and vertex fitting". Nuclear Instruments and Methods in Physics Research Section A. 262 (2–3): 444–450. Bibcode:1987NIMPA.262..444F. doi:10.1016/0168-9002(87)90887-4.
Bock, Y.; Crowell, B.; Webb, F.; Kedar, S.; Clayton, R.; Miyahara, B. (2008). "Fusion of High-Rate GPS and Seismic Data: Applications to Early Warning Systems for Mitigation of Geological Hazards". AGU Fall Meeting Abstracts. 43: G43B–01. Bibcode:2008AGUFM.G43B..01B.

ieee.org

ieeexplore.ieee.org

Jingyang Lu. "False information injection attack on dynamic state estimation in multi-sensor systems", Fusion 2014
Julier, Simon J.; Uhlmann, Jeffrey K. (2004). "Unscented filtering and nonlinear estimation". Proceedings of the IEEE. 92 (3): 401–422. doi:10.1109/JPROC.2003.823141. S2CID 9614092.

ieeecss.org

"Mohinder S. Grewal and Angus P. Andrews" (PDF). Archived from the original (PDF) on 2016-03-07. Retrieved 2015-04-23.

jstor.org

Lauritzen, S. L. (December 1981). "Time series analysis in 1880. A discussion of contributions made by T.N. Thiele". International Statistical Review. 49 (3): 319–331. doi:10.2307/1402616. JSTOR 1402616. He derives a recursive procedure for estimating the regression component and predicting the Brownian motion. The procedure is now known as Kalman filtering.

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