{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T05:42:07Z","timestamp":1769319727344,"version":"3.49.0"},"reference-count":33,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T00:00:00Z","timestamp":1673049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Defense Fund","award":["2021-JJ-0726"],"award-info":[{"award-number":["2021-JJ-0726"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>For the state estimation problem of a multi-source localization nonlinear system with unknown and bounded noise, a distributed sequential ellipsoidal intersection fusion estimation algorithm based on the dual set-membership filtering method is proposed to ensure the reliability of the localization system. First, noise with unknown and bounded characteristics is modeled by using bounded ellipsoidal regions. At the same time, local estimators are designed at the sensor link nodes to filter out the noise interference in the localization system. The local estimator is designed using the dual set-membership filtering algorithm. It uses the dual principle to find the minimizing ellipsoid that can contain the nonlinear function by solving the optimization problem with semi-infinite constraints, and a first-order conditional gradient algorithm is used to solve the optimization problem with a low computational complexity. Meanwhile, the communication confusion among multiple sensors causes the problem of unknown correlation. The obtained estimates of local filters are fused at the fusion center by designing a distributed sequential ellipsoid intersection fusion estimation algorithm to obtain more accurate fusion localization results with lower computational cost. Finally, the stability and reliability of the proposed distributed fusion algorithm are verified by designing a simulation example of a multi-source nonlinear system.<\/jats:p>","DOI":"10.3390\/s23020698","type":"journal-article","created":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T07:05:09Z","timestamp":1673247909000},"page":"698","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Distributed State Fusion Estimation of Multi-Source Localization Nonlinear Systems"],"prefix":"10.3390","volume":"23","author":[{"given":"Peng","family":"Liu","sequence":"first","affiliation":[{"name":"Academy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China"},{"name":"School of Instrument and Intelligence, North University of China, Taiyuan 030051, China"}]},{"given":"Shuyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Academy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China"},{"name":"School of Instrument and Intelligence, North University of China, Taiyuan 030051, China"},{"name":"School of Instrumentation and Electronic, North University of China, Taiyuan 030051, China"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Academy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China"},{"name":"School of Instrument and Intelligence, North University of China, Taiyuan 030051, China"},{"name":"School of Instrumentation and Electronic, North University of China, Taiyuan 030051, China"}]},{"given":"Mengwei","family":"Li","sequence":"additional","affiliation":[{"name":"Academy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China"},{"name":"School of Instrument and Intelligence, North University of China, Taiyuan 030051, China"},{"name":"School of Instrumentation and Electronic, North University of China, Taiyuan 030051, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.mechatronics.2018.02.004","article-title":"Integrated observer approach using in-vehicle sensors and GPS for vehicle state estimation","volume":"50","author":"Park","year":"2018","journal-title":"Mechatronics"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cja.2021.04.021","article-title":"A distributed approach for lidar-based relative state estimation of multi-UAV in GPS-denied environments","volume":"35","author":"Hongming","year":"2022","journal-title":"Chin. 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