{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T12:27:43Z","timestamp":1768393663876,"version":"3.49.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T00:00:00Z","timestamp":1763942400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T00:00:00Z","timestamp":1763942400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,24]]},"DOI":"10.1109\/sdf67080.2025.11330848","type":"proceedings-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T20:56:29Z","timestamp":1768337789000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["Robust Real-Time Multistatic Sonar Tracking with Missed Detections and Measurement Bias Using Gaussian Long Short-Term Memory Networks"],"prefix":"10.1109","author":[{"given":"Thomas Alexander","family":"Beck","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE,Dept. Sensor Data & Information Fusion,Wachtberg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martina","family":"Br\u00f6tje","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE,Dept. Sensor Data & Information Fusion,Wachtberg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2003.823141"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3097065"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-018-9856-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10413"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.2200260"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.06.039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.05.027"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3158588"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8280428"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION43075.2019.9011217"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89128-2_30"},{"key":"ref12","volume-title":"Principles of underwater sound","author":"Urick","year":"1975"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-31319-6"},{"key":"ref14","article-title":"Tracking and Data Fusion: A Handbook of Algorithms","volume-title":"Storrs","author":"Bar-Shalom","year":"2011"},{"key":"ref15","article-title":"Mathematical Statistics: Basic Ideas and Selected Topics","volume-title":"Chapman & Hall\/CRC Texts in Statistical Science","volume":"119","author":"Bickel","year":"2016"},{"key":"ref16","article-title":"Fundamentals of Statistical Signal Processing, Volume1: Estimation Theory","volume-title":"Englewood Cliffs","author":"Kay","year":"1993"},{"key":"ref17","volume-title":"Multistatic multihypothesis tracking techniques for underwater- and air surveillance applications","author":"Br\u00f6tje","year":"2013"},{"key":"ref18","article-title":"Probabilistic machine learning an introduction","volume-title":"ser. Adaptive computation and machine learning","author":"Murphy","year":"2022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1049\/ip-rsn:20010381"},{"key":"ref20","volume-title":"Tracking and Sensor Data Fusion Methodological Framework and Selected Applications, 2014th ed., ser. Mathematical Engineering","author":"Koch","year":"2014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2008.4543252"}],"event":{"name":"2025 IEEE Sensor Data Fusion: Trends, Solutions, Applications (SDF)","location":"Bonn, Germany","start":{"date-parts":[[2025,11,24]]},"end":{"date-parts":[[2025,11,26]]}},"container-title":["2025 IEEE Sensor Data Fusion: Trends, Solutions, Applications (SDF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11330197\/11330230\/11330848.pdf?arnumber=11330848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T07:36:11Z","timestamp":1768376171000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11330848\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,24]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/sdf67080.2025.11330848","relation":{},"subject":[],"published":{"date-parts":[[2025,11,24]]}}}