{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T16:46:18Z","timestamp":1726418778468},"reference-count":43,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100006407","name":"Henan Province Natural Science Foundation","doi-asserted-by":"publisher","award":["242300421716","232300420418","222300420583"],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Digital Signal Processing"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.dsp.2024.104508","type":"journal-article","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T15:30:16Z","timestamp":1712676616000},"page":"104508","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Mixture generalized minimum error entropy-based distributed lattice Kalman filter"],"prefix":"10.1016","volume":"149","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-9318-3253","authenticated-orcid":false,"given":"Yuzhao","family":"Jiao","sequence":"first","affiliation":[]},{"given":"Jianxiong","family":"Niu","sequence":"additional","affiliation":[]},{"given":"Hongmei","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Taishan","family":"Lou","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.dsp.2024.104508_bib0001","doi-asserted-by":"crossref","DOI":"10.3390\/rs15041139","article-title":"A distributionally robust fusion framework for autonomous multisensor spacecraft navigation during entry phase of mars entry, descent, and landing","volume":"15","author":"Zewge","year":"2023","journal-title":"Remote Sens."},{"issue":"4","key":"10.1016\/j.dsp.2024.104508_bib0002","first-page":"1689","article-title":"Lattice smooth variable structure filter for maneuvering _target tracking with model uncertainty","volume":"47","author":"Jiao","year":"2023","journal-title":"IJST-Trans. Electr. Eng."},{"issue":"3","key":"10.1016\/j.dsp.2024.104508_bib0003","first-page":"711","article-title":"An improved smooth variable structure filter and its application in ship wave filtering","volume":"45","author":"Jiao","year":"2021","journal-title":"IJST-Trans. Electr. Eng."},{"issue":"2","key":"10.1016\/j.dsp.2024.104508_bib0004","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1109\/TSMC.2016.2598845","article-title":"A new look at boundedness of error covariance of Kalman filtering","volume":"48","author":"Li","year":"2018","journal-title":"IEEE Trans. Syst. Man. Cy-S."},{"key":"10.1016\/j.dsp.2024.104508_bib0005","series-title":"The 12th Romanian International Conference on Communications","article-title":"The hybrid simplified Kalman filter for adaptive feedback cancellation","author":"Albu","year":"2018"},{"issue":"4","key":"10.1016\/j.dsp.2024.104508_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfranklin.2024.106666","article-title":"A new smooth variable structure Tobit filter for systems with censored measurements and model parameters uncertainty","volume":"361","author":"Jiao","year":"2024","journal-title":"J. Franklin. I."},{"key":"10.1016\/j.dsp.2024.104508_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.automatica.2021.109769","article-title":"Distributed diffusion unscented Kalman filtering based on covariance intersection with intermittent measurements","volume":"132","author":"Chen","year":"2021","journal-title":"Automatica"},{"issue":"17","key":"10.1016\/j.dsp.2024.104508_bib0008","doi-asserted-by":"crossref","first-page":"5979","DOI":"10.1002\/rnc.4709","article-title":"Distributed fusion cubature Kalman filters for nonlinear systems","volume":"29","author":"Hao","year":"2019","journal-title":"Int. J. Robust Nonlin."},{"key":"10.1016\/j.dsp.2024.104508_bib0009","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1109\/LSP.2021.3089935","article-title":"Lattice Kalman filters","volume":"28","author":"Rahimnejad","year":"2021","journal-title":"IEEE Signal Proc. Let."},{"key":"10.1016\/j.dsp.2024.104508_bib0010","article-title":"A computationally efficient outlier-robust cubature Kalman filter for underwater gravity matching navigation","volume":"71","author":"Wang","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.dsp.2024.104508_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2021.108276","article-title":"Robust and Sparsity-aware adaptive filters: a review","volume":"189","author":"Kumar","year":"2021","journal-title":"Signal Process."},{"issue":"4","key":"10.1016\/j.dsp.2024.104508_bib0012","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/s10010-011-0144-5","article-title":"Robust identification of pneumatic servo actuators in the real situations","volume":"75","author":"Filipovic","year":"2011","journal-title":"Forsch Ingenieurwes"},{"key":"10.1016\/j.dsp.2024.104508_bib0013","doi-asserted-by":"crossref","first-page":"3824","DOI":"10.1109\/TSP.2020.3001404","article-title":"Fixed-point minimum error entropy with fiducial points","volume":"68","author":"Xie","year":"2020","journal-title":"IEEE Trans. Signal Process."},{"issue":"3","key":"10.1016\/j.dsp.2024.104508_bib0014","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1109\/TAES.2017.2651684","article-title":"A novel robust student's t-based Kalman filter","volume":"53","author":"Huang","year":"2017","journal-title":"IEEE T. Aero. Elec. Sys."},{"issue":"20","key":"10.1016\/j.dsp.2024.104508_bib0015","doi-asserted-by":"crossref","first-page":"5417","DOI":"10.1109\/TSP.2019.2939079","article-title":"A novel Kullback\u2013Leibler divergence minimization-based adaptive student's t-filter","volume":"67","author":"Huang","year":"2019","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"10.1016\/j.dsp.2024.104508_bib0016","doi-asserted-by":"crossref","first-page":"4835","DOI":"10.1109\/TAES.2022.3164012","article-title":"A sliding window variational outlier-robust Kalman filter based on student's t noise modelling","volume":"58","author":"Zhu","year":"2022","journal-title":"IEEE Trans. Aero. Elec. Sys."},{"key":"10.1016\/j.dsp.2024.104508_bib0017","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1109\/TSP.2022.3151199","article-title":"An outlier-robust Kalman filter with adaptive selection of elliptically contoured distributions","volume":"70","author":"Xue","year":"2022","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"10.1016\/j.dsp.2024.104508_bib0018","first-page":"3552","article-title":"A slide window variational adaptive Kalman filter","volume":"67","author":"Huang","year":"2020","journal-title":"IEEE Trans. Circ. Syst. II"},{"issue":"18","key":"10.1016\/j.dsp.2024.104508_bib0019","doi-asserted-by":"crossref","first-page":"3974","DOI":"10.1002\/rnc.3544","article-title":"Identification of time-varying OE models in presence of non-Gaussian noise: application to pneumatic servo drives","volume":"26","author":"Stojanovic","year":"2016","journal-title":"Int. J. Robust Nonlin."},{"issue":"14","key":"10.1016\/j.dsp.2024.104508_bib0020","doi-asserted-by":"crossref","first-page":"3058","DOI":"10.1002\/rnc.3490","article-title":"Joint state and parameter robust estimation of stochastic nonlinear systems","volume":"26","author":"Stojanovic","year":"2016","journal-title":"Int. J. Robust Nonlin."},{"issue":"2","key":"10.1016\/j.dsp.2024.104508_bib0021","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.jfranklin.2015.12.007","article-title":"Robust identification of OE model with constrained output using optimal input design","volume":"353","author":"Stojanovic","year":"2016","journal-title":"J. Franklin. I."},{"issue":"6","key":"10.1016\/j.dsp.2024.104508_bib0022","first-page":"2202","article-title":"Modified champernowne function based robust and Sparsity-aware adaptive filters","volume":"68","author":"Kumar","year":"2021","journal-title":"IEEE Trans. Circuits-II."},{"key":"10.1016\/j.dsp.2024.104508_bib0023","doi-asserted-by":"crossref","first-page":"1410","DOI":"10.1109\/LSP.2021.3093862","article-title":"Exponential hyperbolic cosine robust adaptive filters for audio signal processing","volume":"28","author":"Kumar","year":"2021","journal-title":"IEEE Signal Proc. Lett."},{"key":"10.1016\/j.dsp.2024.104508_bib0024","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1109\/LSP.2023.3252412","article-title":"Generalized soft-root-sign based robust Sparsity-aware adaptive filters","volume":"30","author":"Patel","year":"2023","journal-title":"IEEE Signal Proc. Lett."},{"issue":"6","key":"10.1016\/j.dsp.2024.104508_bib0025","doi-asserted-by":"crossref","first-page":"2677","DOI":"10.1109\/TAC.2020.3011443","article-title":"A novel outlier-robust Kalman filtering framework based on statistical similarity measure","volume":"66","author":"Huang","year":"2021","journal-title":"IEEE Trans. Automat. Contr."},{"issue":"8","key":"10.1016\/j.dsp.2024.104508_bib0026","doi-asserted-by":"crossref","first-page":"4354","DOI":"10.1109\/TAC.2022.3176837","article-title":"Statistical similarity measure-based adaptive outlier-robust state estimator with applications","volume":"67","author":"Bai","year":"2022","journal-title":"IEEE Trans. Automat. Contr."},{"issue":"10","key":"10.1016\/j.dsp.2024.104508_bib0027","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1109\/LSP.2015.2428713","article-title":"Convergence of a fixed-point algorithm under maximum correntropy criterion","volume":"22","author":"Chen","year":"2015","journal-title":"IEEE Signal Proc. Lett."},{"issue":"17","key":"10.1016\/j.dsp.2024.104508_bib0028","doi-asserted-by":"crossref","DOI":"10.3390\/s21175864","article-title":"Design method for a higher order extended Kalman filter based on maximum correlation entropy and a Taylor network system","volume":"21","author":"Wang","year":"2021","journal-title":"Sensors"},{"issue":"24","key":"10.1016\/j.dsp.2024.104508_bib0029","doi-asserted-by":"crossref","DOI":"10.3390\/app122412735","article-title":"A novel UWB positioning method based on a maximum-correntropy unscented Kalman filter","volume":"12","author":"Zhao","year":"2022","journal-title":"Appl. Sci."},{"issue":"15","key":"10.1016\/j.dsp.2024.104508_bib0030","doi-asserted-by":"crossref","first-page":"7053","DOI":"10.1002\/rnc.5677","article-title":"Distributed maximum correntropy unscented Kalman filtering with state equality constraints","volume":"31","author":"Lv","year":"2021","journal-title":"Int. J. Robust Nonlin."},{"issue":"5","key":"10.1016\/j.dsp.2024.104508_bib0031","doi-asserted-by":"crossref","first-page":"3733","DOI":"10.1109\/TCYB.2020.3016093","article-title":"Distributed maximum correntropy filtering for stochastic nonlinear systems under deception attacks","volume":"52","author":"Song","year":"2022","journal-title":"IEEE Trans. Cybern."},{"issue":"8","key":"10.1016\/j.dsp.2024.104508_bib0032","doi-asserted-by":"crossref","DOI":"10.3390\/e19080432","article-title":"Group-constrained maximum correntropy criterion algorithms for estimating sparse mix-noised channels","volume":"19","author":"Wang","year":"2017","journal-title":"Entropy"},{"issue":"11","key":"10.1016\/j.dsp.2024.104508_bib0033","doi-asserted-by":"crossref","first-page":"5286","DOI":"10.1109\/TSP.2007.896065","article-title":"Correntropy: properties and applications in non-Gaussian signal processing","volume":"55","author":"Liu","year":"2007","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.dsp.2024.104508_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2020.107836","article-title":"Adaptive filtering based on recursive minimum error entropy criterion","volume":"179","author":"Wang","year":"2021","journal-title":"Signal Process."},{"issue":"9","key":"10.1016\/j.dsp.2024.104508_bib0035","doi-asserted-by":"crossref","first-page":"5819","DOI":"10.1109\/TSMC.2019.2957269","article-title":"Minimum error entropy Kalman filter","volume":"51","author":"Chen","year":"2021","journal-title":"IEEE Trans. Syst. Man. Cy-S."},{"issue":"11","key":"10.1016\/j.dsp.2024.104508_bib0036","doi-asserted-by":"crossref","first-page":"8797","DOI":"10.1109\/TIM.2020.2999757","article-title":"Robust power system state estimation with minimum error entropy unscented Kalman filter","volume":"69","author":"Dang","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.dsp.2024.104508_bib0037","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1109\/LSP.2021.3055748","article-title":"Robust minimum error entropy based cubature information filter with non-Gaussian measurement noise","volume":"28","author":"Li","year":"2021","journal-title":"IEEE Signal Proc. Lett."},{"key":"10.1016\/j.dsp.2024.104508_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2020.107914","article-title":"Numerically stable minimum error entropy Kalman filter","volume":"181","author":"Wang","year":"2021","journal-title":"Signal Process."},{"issue":"3","key":"10.1016\/j.dsp.2024.104508_bib0039","doi-asserted-by":"crossref","first-page":"1362","DOI":"10.1016\/j.jfranklin.2021.12.015","article-title":"Mixture quantized error entropy for eecursive least squares adaptive filtering","volume":"359","author":"He","year":"2022","journal-title":"J. Franklin Inst."},{"key":"10.1016\/j.dsp.2024.104508_bib0040","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.isatra.2022.10.040","article-title":"Generalized minimum error entropy Kalman filter for non-Gaussian noise","volume":"136","author":"He","year":"2023","journal-title":"ISA Trans."},{"key":"10.1016\/j.dsp.2024.104508_bib0041","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1016\/j.inffus.2022.11.016","article-title":"Distributed minimum error entropy Kalman filter","volume":"91","author":"Feng","year":"2023","journal-title":"Inform. Fusion"},{"year":"1994","series-title":"Lattice Methods For Multiple Integration","author":"Sloan","key":"10.1016\/j.dsp.2024.104508_bib0042"},{"key":"10.1016\/j.dsp.2024.104508_bib0043","doi-asserted-by":"crossref","first-page":"5549","DOI":"10.3390\/e17085549","article-title":"Convergence of a fixed-point minimum error entropy algorithm","volume":"17","author":"Zhang","year":"2015","journal-title":"Entropy"}],"container-title":["Digital Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1051200424001337?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1051200424001337?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T17:59:12Z","timestamp":1714759152000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1051200424001337"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":43,"alternative-id":["S1051200424001337"],"URL":"https:\/\/doi.org\/10.1016\/j.dsp.2024.104508","relation":{},"ISSN":["1051-2004"],"issn-type":[{"type":"print","value":"1051-2004"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Mixture generalized minimum error entropy-based distributed lattice Kalman filter","name":"articletitle","label":"Article Title"},{"value":"Digital Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.dsp.2024.104508","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104508"}}  <script>parent.window.postMessage('ixistenz.url:https://api.crossref.org/works/10.1016%2FJ.DSP.2024.104508', '*'); </script> <div id='browserdiffcontainer' style='position: fixed; right: 10px; top: 10vh; min-width: 60px;  border: 1px solid white; background: rgb(251, 189, 0);; opacity: 0.9; font-family: helvetica, arial, sans serif;  font-size: 12px; z-index: 20001; padding-bottom: 20px;'><div onclick="toggle('browserdiffcontainerlist'); return false;" style='background: rgb(151, 89, 0);; color: white; '><strong>&nbsp; <span class='glyphicon glyphicon-minus'></span> NODES</strong></div><div id='browserdiffcontainerlist' style='padding-left: 10px; padding-right: 5px; max-height: 50vh; overflow: auto; '><div><a href='#diffid123' style='color: white;' onClick="parent.window.postMessage('ixistenz.opendiff:123', '*');; return false;" style='text-decoration: none; '>INTERN </a> <a style='color: white;' href='#diffid123'><sup>1</sup></a></div></div></div>
<script>
function toggle( divname ) {
  var x = document.getElementById( divname );
  if (x.style.display === 'none') {
    x.style.display = 'block';
  } else {
    x.style.display = 'none';
  }
} </script>