{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T06:20:25Z","timestamp":1773469225954,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T00:00:00Z","timestamp":1752710400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T00:00:00Z","timestamp":1752710400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100006407","name":"Natural Science Foundation of Henan Province","doi-asserted-by":"publisher","award":["242300421716"],"award-info":[{"award-number":["242300421716"]}],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006407","name":"Natural Science Foundation of Henan Province","doi-asserted-by":"publisher","award":["232300420418"],"award-info":[{"award-number":["232300420418"]}],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Henan Province","award":["241111222900"],"award-info":[{"award-number":["241111222900"]}]},{"name":"Key Science and Technology Program of Henan Province","award":["252102220062"],"award-info":[{"award-number":["252102220062"]}]},{"name":"Key Science and Technology Program of Henan Province","award":["242102220044"],"award-info":[{"award-number":["242102220044"]}]},{"name":"Key Science and Technology Program of Henan Province","award":["242102210034"],"award-info":[{"award-number":["242102210034"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1007\/s00034-025-03240-4","type":"journal-article","created":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T15:44:48Z","timestamp":1752767088000},"page":"763-792","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust State Estimation for Nonlinear Systems with Censored Measurements and Model Parameters Uncertainties"],"prefix":"10.1007","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9318-3253","authenticated-orcid":false,"given":"Yuzhao","family":"Jiao","sequence":"first","affiliation":[]},{"given":"Shuai","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Zhiwu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Taishan","family":"Lou","sequence":"additional","affiliation":[]},{"given":"Xuetao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Caoping","family":"Niu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,17]]},"reference":[{"issue":"9","key":"3240_CR1","doi-asserted-by":"publisher","first-page":"9217","DOI":"10.1109\/tits.2023.3271295","volume":"24","author":"S Akhtar","year":"2023","unstructured":"S. Akhtar, S. Habibi, The interacting multiple model smooth variable structure filter for trajectory prediction. IEEE Trans. Syst. Man Cybern. 24(9), 9217\u20139239 (2023). https:\/\/doi.org\/10.1109\/tits.2023.3271295","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"3240_CR2","doi-asserted-by":"publisher","unstructured":"B. Allik, C. Miller, M.J. Piovoso, R. Zurakowski, Estimation of saturated data using the Tobit Kalman filter. In 2014 American Control Conference (ACC). pp. 4151\u20134156, (2014) https:\/\/doi.org\/10.1109\/acc.2014.6859251","DOI":"10.1109\/acc.2014.6859251"},{"issue":"1","key":"3240_CR3","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1109\/tcst.2015.2432155","volume":"24","author":"B Allik","year":"2016","unstructured":"B. Allik, C. Miller, M.J. Piovoso, R. Zurakowski, The tobit kalman filter: an estimator for censored measurements. IEEE Trans. Control Syst. Technol. 24(1), 365\u2013371 (2016). https:\/\/doi.org\/10.1109\/tcst.2015.2432155","journal-title":"IEEE Trans. Control Syst. Technol."},{"issue":"2","key":"3240_CR4","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1016\/j.sigpro.2012.07.036","volume":"93","author":"M Al-Shabi","year":"2013","unstructured":"M. Al-Shabi, S.A. Gadsden, S.R. Habibi, Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter. Signal Process. 93(2), 420\u2013431 (2013). https:\/\/doi.org\/10.1016\/j.sigpro.2012.07.036","journal-title":"Signal Process."},{"issue":"6","key":"3240_CR5","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1109\/TAC.2009.2019800","volume":"54","author":"I Arasaratnam","year":"2009","unstructured":"I. Arasaratnam, S. Haykin, Cubature kalman filters. IEEE Trans. Autom. Control 54(6), 1254\u20131269 (2009). https:\/\/doi.org\/10.1109\/TAC.2009.2019800","journal-title":"IEEE Trans. Autom. Control"},{"issue":"1","key":"3240_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/joe.2022.3168934","volume":"48","author":"A Bucci","year":"2023","unstructured":"A. Bucci, M. Franchi, A. Ridolfi, N. Secciani, B. Allotta, Evaluation of UKF-based fusion Strategies for autonomous underwater vehicles multisensor navigation. IEEE J. Ocean. Eng. 48(1), 1\u201326 (2023). https:\/\/doi.org\/10.1109\/joe.2022.3168934","journal-title":"IEEE J. Ocean. Eng."},{"key":"3240_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2023.104003","volume":"136","author":"C Chen","year":"2023","unstructured":"C. Chen, W. Zhou, L. Gao, A novel robust IMM filter for jump Markov systems with heavy-tailed process and measurement noises. Digit. Signal Process. 136, 104003 (2023). https:\/\/doi.org\/10.1016\/j.dsp.2023.104003","journal-title":"Digit. Signal Process."},{"key":"3240_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109148","volume":"212","author":"T Cui","year":"2023","unstructured":"T. Cui, Z. Jing, P. Dong, K. Shen, Adaptive distributed multiple-model filter with uncertainty of process model. Signal Process. 212, 109148 (2023). https:\/\/doi.org\/10.1016\/j.sigpro.2023.109148","journal-title":"Signal Process."},{"key":"3240_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2025.109947","volume":"233","author":"J Faraji","year":"2025","unstructured":"J. Faraji, J. Keighobadi, F. Janabi-Sharifi, Design and implementation of an adaptive extended kalman filter with interval type-3 fuzzy set for an attitude and heading reference system. Signal Process. 233, 109947 (2025). https:\/\/doi.org\/10.1016\/j.sigpro.2025.109947","journal-title":"Signal Process."},{"key":"3240_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109465","volume":"220","author":"X Feng","year":"2024","unstructured":"X. Feng, C. Wu, Q. Ge, Cauchy kernel minimum error entropy centralized fusion filter. Signal Process. 220, 109465 (2024). https:\/\/doi.org\/10.1016\/j.sigpro.2024.109465","journal-title":"Signal Process."},{"issue":"4","key":"3240_CR11","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s10010-011-0144-5","volume":"75","author":"V Filipovic","year":"2011","unstructured":"V. Filipovic, N. Nedic, V. Stojanovic, Robust identification of pneumatic servo actuators in the real situations. Forsch. Ingenieurwes. 75(4), 183\u2013196 (2011). https:\/\/doi.org\/10.1007\/s10010-011-0144-5","journal-title":"Forsch. Ingenieurwes."},{"issue":"1","key":"3240_CR12","doi-asserted-by":"publisher","first-page":"014503","DOI":"10.1115\/1.4006628","volume":"135","author":"SA Gadsden","year":"2012","unstructured":"S.A. Gadsden, S.R. Habibi, A new robust filtering strategy for linear systems. J. Dyn. Syst. Meas. Control. 135(1), 014503 (2012). https:\/\/doi.org\/10.1115\/1.4006628","journal-title":"J. Dyn. Syst. Meas. Control."},{"issue":"2","key":"3240_CR13","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1109\/TAES.2014.110768","volume":"50","author":"SA Gadsden","year":"2014","unstructured":"S.A. Gadsden, S.R. Habibi, T. Kirubarajan, Kalman and smooth variable structure filters for robust estimation. IEEE Trans. Aerosp. Electron. Syst. 50(2), 1038\u20131050 (2014). https:\/\/doi.org\/10.1109\/TAES.2014.110768","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"3240_CR14","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.sigpro.2013.08.015","volume":"96","author":"SA Gadsden","year":"2014","unstructured":"S.A. Gadsden, M. Al-Shabi, I. Arasaratnam, S.R. Habibi, Combined cubature kalman and smooth variable structure filtering: a robust nonlinear estimation strategy. Signal Process. 96, 290\u2013299 (2014). https:\/\/doi.org\/10.1016\/j.sigpro.2013.08.015","journal-title":"Signal Process."},{"issue":"6","key":"3240_CR15","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.cja.2024.04.016","volume":"37","author":"Q Ge","year":"2024","unstructured":"Q. Ge, Z. Song, B. Zhu, B. Zhang, Adaptive nonlinear kalman filters based on credibility theory with noise correlation. Chin. J. Aeronaut. 37(6), 232\u2013243 (2024). https:\/\/doi.org\/10.1016\/j.cja.2024.04.016","journal-title":"Chin. J. Aeronaut."},{"key":"3240_CR16","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.sigpro.2018.08.005","volume":"154","author":"H Geng","year":"2019","unstructured":"H. Geng, Z. Wang, Y. Cheng, F.E. Alsaadi, A.M. Dobaie, State estimation under non-gaussian L\u00e9vy and time-correlated additive sensor noises: a modified Tobit kalman filtering approach. Signal Process. 154, 120\u2013128 (2019). https:\/\/doi.org\/10.1016\/j.sigpro.2018.08.005","journal-title":"Signal Process."},{"issue":"24","key":"3240_CR17","doi-asserted-by":"publisher","first-page":"8367","DOI":"10.1109\/jsen.2017.2766077","volume":"17","author":"H Geng","year":"2017","unstructured":"H. Geng, Z. Wang, Y. Liang, Y. Cheng, F.E. Alsaadi, Tobit kalman filter with time-correlated multiplicative sensor noises under redundant channel transmission. IEEE Sens. J. 17(24), 8367\u20138377 (2017). https:\/\/doi.org\/10.1109\/jsen.2017.2766077","journal-title":"IEEE Sens. J."},{"key":"3240_CR18","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1109\/tsp.2020.3048245","volume":"69","author":"H Geng","year":"2021","unstructured":"H. Geng, Z. Wang, L. Zou, A. Mousavi, Y. Cheng, Protocol-based Tobit kalman filter under integral measurements and probabilistic sensor failures. IEEE Trans. Signal Process. 69, 546\u2013559 (2021). https:\/\/doi.org\/10.1109\/tsp.2020.3048245","journal-title":"IEEE Trans. Signal Process."},{"key":"3240_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.107278","volume":"167","author":"AK Gostar","year":"2020","unstructured":"A.K. Gostar, T. Rathnayake, R. Tennakoon, A. Bab-Hadiashar, G. Battistelli, L. Chisci, R. Hoseinnezhad, Cooperative sensor fusion in centralized sensor networks using Cauchy\u2013Schwarz divergence. Signal Process. 167, 107278 (2020). https:\/\/doi.org\/10.1016\/j.sigpro.2019.107278","journal-title":"Signal Process."},{"issue":"2","key":"3240_CR20","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1109\/tsp.2011.2172431","volume":"60","author":"F Gustafsson","year":"2012","unstructured":"F. Gustafsson, G. Hendeby, Some relations between extended and unscented Kalman filters. IEEE Trans. Signal Process. 60(2), 545\u2013555 (2012). https:\/\/doi.org\/10.1109\/tsp.2011.2172431","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"3240_CR21","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1109\/JPROC.2007.893255","volume":"95","author":"S Habibi","year":"2007","unstructured":"S. Habibi, The smooth variable structure filter. Proc. IEEE 95(5), 1026\u20131059 (2007). https:\/\/doi.org\/10.1109\/JPROC.2007.893255","journal-title":"Proc. IEEE"},{"issue":"1","key":"3240_CR22","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s00034-023-02497-x","volume":"43","author":"G Han","year":"2023","unstructured":"G. Han, F. Liu, J. Deng, W. Bai, X. Deng, K. Li, An adaptive vehicle tracking enhancement algorithm based on fuzzy interacting multiple model robust cubature Kalman filtering. Circuits Syst. Signal Process. 43(1), 191\u2013223 (2023). https:\/\/doi.org\/10.1007\/s00034-023-02497-x","journal-title":"Circuits Syst. Signal Process."},{"key":"3240_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2023.108235","volume":"136","author":"J Huang","year":"2023","unstructured":"J. Huang, Z. Li, D. Liu, Q. Yang, J. Zhu, An adaptive state estimation for tracking hypersonic glide targets with model uncertainties. Aerosp. Sci. Technol. 136, 108235 (2023). https:\/\/doi.org\/10.1016\/j.ast.2023.108235","journal-title":"Aerosp. Sci. Technol."},{"issue":"5","key":"3240_CR24","doi-asserted-by":"publisher","first-page":"3160","DOI":"10.1007\/s00034-024-02601-9","volume":"43","author":"J Huang","year":"2024","unstructured":"J. Huang, J. Xie, H. Zhang, Z. Li, C. Qi, A novel tracking algorithm based on waveform selection for maneuvering targets in clutter. Circuits Syst. Signal Process. 43(5), 3160\u20133179 (2024). https:\/\/doi.org\/10.1007\/s00034-024-02601-9","journal-title":"Circuits Syst. Signal Process."},{"issue":"6","key":"3240_CR25","doi-asserted-by":"publisher","first-page":"10373","DOI":"10.3233\/jifs-192116","volume":"40","author":"Y Jiao","year":"2021","unstructured":"Y. Jiao, T. Lou, X. Wang, H. Zhao, The KF-SVM-based fusion method for multi sensor uncertain system with correlated noise. J. Intell. Fuzzy Syst. 40(6), 10373\u201310383 (2021). https:\/\/doi.org\/10.3233\/jifs-192116","journal-title":"J. Intell. Fuzzy Syst."},{"issue":"4","key":"3240_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2024.106666","volume":"361","author":"Y Jiao","year":"2024","unstructured":"Y. Jiao, T. Lou, L. Zhao, Y. Lu, A new smooth variable structure tobit filter for systems with censored measurements and model parameters uncertainty. J. Franklin Inst. 361(4), 106666 (2024). https:\/\/doi.org\/10.1016\/j.jfranklin.2024.106666","journal-title":"J. Franklin Inst."},{"issue":"4","key":"3240_CR27","doi-asserted-by":"publisher","first-page":"1689","DOI":"10.1007\/s40998-023-00609-6","volume":"47","author":"Y Jiao","year":"2023","unstructured":"Y. Jiao, T. Lou, L. Zhao, H. Zhao, Y. Lu, Lattice smooth variable structure filter for maneuvering target tracking with model uncertainty. Iran. J. Sci. Technol. 47(4), 1689\u20131701 (2023). https:\/\/doi.org\/10.1007\/s40998-023-00609-6","journal-title":"Iran. J. Sci. Technol."},{"key":"3240_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2024.104508","volume":"149","author":"Y Jiao","year":"2024","unstructured":"Y. Jiao, J. Niu, H. Zhao, T. Lou, Mixture generalized minimum error entropy-based distributed lattice Kalman filter. Digit. Signal Process. 149, 104508 (2024). https:\/\/doi.org\/10.1016\/j.dsp.2024.104508","journal-title":"Digit. Signal Process."},{"issue":"3","key":"3240_CR29","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1007\/s40998-020-00406-5","volume":"45","author":"Y Jiao","year":"2021","unstructured":"Y. Jiao, H. Zhao, X. Wang, T. Lou, An improved smooth variable structure filter and its application in ship wave filtering. Iran. J. Sci. Technol. 45(3), 711\u2013719 (2021). https:\/\/doi.org\/10.1007\/s40998-020-00406-5","journal-title":"Iran. J. Sci. Technol."},{"issue":"1","key":"3240_CR30","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1115\/1.3662552","volume":"82","author":"RE Kalman","year":"1960","unstructured":"R.E. Kalman, A new approach to linear filtering and prediction problems. J. Basic Eng. 82(1), 35\u201345 (1960). https:\/\/doi.org\/10.1115\/1.3662552","journal-title":"J. Basic Eng."},{"key":"3240_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2023.108713","volume":"143","author":"S Lee","year":"2023","unstructured":"S. Lee, H. Shin, A. Tsourdos, Intent-informed state estimation for tracking guided targets. Aerosp. Sci. Technol. 143, 108713 (2023). https:\/\/doi.org\/10.1016\/j.ast.2023.108713","journal-title":"Aerosp. Sci. Technol."},{"key":"3240_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2022.127327","volume":"431","author":"J Li","year":"2022","unstructured":"J. Li, G. Wei, W. Li, Unscented Tobit Kalman filtering for switched nonlinear systems with censored measurement. Appl. Math. Comput. 431, 127327 (2022). https:\/\/doi.org\/10.1016\/j.amc.2022.127327","journal-title":"Appl. Math. Comput."},{"key":"3240_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2023.114933","volume":"280","author":"X Li","year":"2023","unstructured":"X. Li, B. Lu, Y. Li, X. Lu, H. Jin, Adaptive interacting multiple model for underwater maneuvering target tracking with one-step randomly delayed measurements. Ocean Eng. 280, 114933 (2023). https:\/\/doi.org\/10.1016\/j.oceaneng.2023.114933","journal-title":"Ocean Eng."},{"key":"3240_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2023.108784","volume":"144","author":"R Liu","year":"2024","unstructured":"R. Liu, M. Liu, G. Duan, X. Cao, Robust adaptive smooth variable structure Kalman filter for spacecraft attitude estimation. Aerosp. Sci. Technol. 144, 108784 (2024). https:\/\/doi.org\/10.1016\/j.ast.2023.108784","journal-title":"Aerosp. Sci. Technol."},{"issue":"8","key":"3240_CR35","doi-asserted-by":"publisher","first-page":"1990","DOI":"10.1109\/TAC.2011.2154430","volume":"56","author":"RJ Lorentzen","year":"2011","unstructured":"R.J. Lorentzen, G. Naevdal, An iterative ensemble Kalman filter. IEEE Trans. Autom. Control 56(8), 1990\u20131995 (2011). https:\/\/doi.org\/10.1109\/TAC.2011.2154430","journal-title":"IEEE Trans. Autom. Control"},{"issue":"11","key":"3240_CR36","doi-asserted-by":"publisher","first-page":"5588","DOI":"10.1007\/s00034-020-01422-w","volume":"39","author":"K Loumponias","year":"2020","unstructured":"K. Loumponias, N. Vretos, G. Tsaklidis, P. Daras, An improved Tobit Kalman filter with adaptive censoring limits. Circuits Syst. Signal Process. 39(11), 5588\u20135617 (2020). https:\/\/doi.org\/10.1007\/s00034-020-01422-w","journal-title":"Circuits Syst. Signal Process."},{"issue":"5","key":"3240_CR37","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1016\/j.sigpro.2010.12.007","volume":"91","author":"W Mei","year":"2010","unstructured":"W. Mei, G. Shan, C. Wang, Practical development of the second-order extended Kalman filter for very long range radar tracking. Signal Process. 91(5), 1240\u20131248 (2010). https:\/\/doi.org\/10.1016\/j.sigpro.2010.12.007","journal-title":"Signal Process."},{"issue":"1","key":"3240_CR38","doi-asserted-by":"publisher","first-page":"35","DOI":"10.3934\/mmc.2021004","volume":"1","author":"MM Morato","year":"2021","unstructured":"M.M. Morato, V. Stojanovic, A robust identification method for stochastic nonlinear parameter varying systems. Math. Model Control. 1(1), 35\u201351 (2021). https:\/\/doi.org\/10.3934\/mmc.2021004","journal-title":"Math. Model Control."},{"issue":"8","key":"3240_CR39","doi-asserted-by":"publisher","first-page":"8568","DOI":"10.1109\/JSEN.2023.3252177","volume":"23","author":"X Qin","year":"2023","unstructured":"X. Qin, R. Zhang, G. Wang, C. Long, M. Hu, Robust interactive multimodel INS\/DVL intergrated navigation system with adaptive model set. IEEE Sens. J. 23(8), 8568\u20138580 (2023). https:\/\/doi.org\/10.1109\/JSEN.2023.3252177","journal-title":"IEEE Sens. J."},{"key":"3240_CR40","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1109\/LSP.2021.3089935","volume":"28","author":"A Rahimnejad","year":"2021","unstructured":"A. Rahimnejad, S.A. Gadsden, M. Al-Shabi, Lattice Kalman filters. IEEE Signal Process. Lett. 28, 1355\u20131359 (2021). https:\/\/doi.org\/10.1109\/LSP.2021.3089935","journal-title":"IEEE Signal Process. Lett."},{"key":"3240_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109507","volume":"221","author":"J Shao","year":"2024","unstructured":"J. Shao, Y. Zhang, F. Yu, S. Fan, Q. Sun, W. Chen, A novel resampling-free update framework-based cubature Kalman filter for robust estimation. Signal Process. 221, 109507 (2024). https:\/\/doi.org\/10.1016\/j.sigpro.2024.109507","journal-title":"Signal Process."},{"key":"3240_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2023.3312314","volume":"61","author":"L Shen","year":"2023","unstructured":"L. Shen, H. Su, Z. Li, C. Jia, R. Yang, Self-attention-based transformer for nonlinear maneuvering target tracking. IEEE Trans. Geosci. Electron. 61, 1\u201313 (2023). https:\/\/doi.org\/10.1109\/TGRS.2023.3312314","journal-title":"IEEE Trans. Geosci. Electron."},{"issue":"18","key":"3240_CR43","doi-asserted-by":"publisher","first-page":"3974","DOI":"10.1002\/rnc.3544","volume":"26","author":"V Stojanovic","year":"2016","unstructured":"V. Stojanovic, N. Nedic, Identification of time-varying OE models in presence of non-gaussian noise: application to pneumatic servo drives. Int. J. Robust Nonlinear Control 26(18), 3974\u20133995 (2016). https:\/\/doi.org\/10.1002\/rnc.3544","journal-title":"Int. J. Robust Nonlinear Control"},{"key":"3240_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3306521","volume":"72","author":"J Wang","year":"2023","unstructured":"J. Wang, X. Chen, C. Shi, J. Liu, Robust M-estimation-based ICKF for GNSS outlier mitigation in GNSS\/SINS navigation applications. IEEE Trans. Instrum. Meas. 72, 1\u201317 (2023). https:\/\/doi.org\/10.1109\/TIM.2023.3306521","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"2","key":"3240_CR45","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.cja.2022.04.006","volume":"36","author":"B Zhang","year":"2023","unstructured":"B. Zhang, Y. Gao, Z. Duan, Variable structure multiple model fixed-interval smoothing. Chin. J. Aeronaut. 36(2), 139\u2013148 (2023). https:\/\/doi.org\/10.1016\/j.cja.2022.04.006","journal-title":"Chin. J. Aeronaut."},{"key":"3240_CR46","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1109\/TSIPN.2022.3174955","volume":"8","author":"J Zhang","year":"2022","unstructured":"J. Zhang, S. Zhao, Distributed adaptive Tobit Kalman filter for networked systems under sensor delays and censored measurements. IEEE Trans. Signal Inf. Process. Networks. 8, 445\u2013458 (2022). https:\/\/doi.org\/10.1109\/TSIPN.2022.3174955","journal-title":"IEEE Trans. Signal Inf. Process. Networks."},{"issue":"5","key":"3240_CR47","doi-asserted-by":"publisher","first-page":"6376","DOI":"10.1109\/TAES.2024.3405903","volume":"60","author":"W Zhang","year":"2024","unstructured":"W. Zhang, R. Fu, X. Yang, A unified gaussian filtering fusion approach for multisensor uncertain systems. IEEE Trans. Aerosp. Electron. Syst. 60(5), 6376\u20136384 (2024). https:\/\/doi.org\/10.1109\/TAES.2024.3405903","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"3240_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2022.108741","volume":"202","author":"W Zhang","year":"2023","unstructured":"W. Zhang, X. Zhao, Z. Liu, K. Liu, B. Chen, Converted state equation Kalman filter for nonlinear maneuvering target tracking. Signal Process. 202, 108741 (2023). https:\/\/doi.org\/10.1016\/j.sigpro.2022.108741","journal-title":"Signal Process."},{"key":"3240_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2025.105086","volume":"161","author":"X Zhang","year":"2025","unstructured":"X. Zhang, M. Gao, T. Li, J. Duan, Y. Yi, J. Liang, A novel particle filter with noisy input. Digital Signal Process. 161, 105086 (2025). https:\/\/doi.org\/10.1016\/j.dsp.2025.105086","journal-title":"Digital Signal Process."},{"key":"3240_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102120","volume":"103","author":"Y Zhang","year":"2024","unstructured":"Y. Zhang, G. Li, X. Zhang, Y. He, A deep learning model based on transformer structure for radar tracking of maneuvering targets. Inf. Fusion. 103, 102120 (2024). https:\/\/doi.org\/10.1016\/j.inffus.2023.102120","journal-title":"Inf. Fusion."}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-025-03240-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-025-03240-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-025-03240-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T05:40:15Z","timestamp":1773466815000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-025-03240-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,17]]},"references-count":50,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["3240"],"URL":"https:\/\/doi.org\/10.1007\/s00034-025-03240-4","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"value":"0278-081X","type":"print"},{"value":"1531-5878","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,17]]},"assertion":[{"value":"10 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 July 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors have read the complete manuscript and have approved the submission. This manuscript is truthful original work without fabrication, fraud or plagiarism. All authors declare that there are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}