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dc.contributor.authorRandeni, Supun
dc.contributor.authorSchneider, Toby
dc.contributor.authorBhatt, EeShan C.
dc.contributor.authorVíquez, Oscar A.
dc.contributor.authorSchmidt, Henrik
dc.date.accessioned2024-04-23T13:57:27Z
dc.date.available2024-04-23T13:57:27Z
dc.date.issued2022-11-16
dc.identifier.issn1556-4959
dc.identifier.issn1556-4967
dc.identifier.urihttps://hdl.handle.net/1721.1/154263
dc.description.abstractWe developed an environmentally adaptive under‐ice navigation framework that was deployed in the Arctic Beaufort Sea during the United States Navy Ice Exercise in March 2020 (ICEX20). This navigation framework contained two subsystems developed from the ground up: (1) an on‐board hydrodynamic model‐aided navigation (HydroMAN) engine, and (2) an environmentally and acoustically adaptive integrated communication and navigation network (ICNN) that provided acoustic navigation aiding to the former. The HydroMAN synthesized measurements from an inertial navigation system (INS), ice‐tracking Doppler velocity log (DVL), ICNN and pressure sensor into its self‐calibrating vehicle flight dynamic model to compute the navigation solution. The ICNN system, which consisted of four ice buoys outfitted with acoustic modems, trilaterated the vehicle position using the one‐way‐travel‐times (OWTT) of acoustic datagrams transmitted by the autonomous underwater vehicle (AUV) and received by the ice buoy network. The ICNN digested salinity and temperature information to provide model‐assisted real‐time OWTT range conversion to deliver accurate acoustic navigation updates to the HydroMAN. To decouple the contributions from the HydroMAN and ICNN subsystems towards a stable navigation solution, this article evaluates them separately: (1) HydroMAN was compared against DVL bottom‐track aided INS during pre‐ICEX20 engineering trials where both systems provided similar accuracy; (2) ICNN was evaluated by conducting a static experiment in the Arctic where the ICNN navigation updates were compared against GPS with ICNN error within low tens of meters. The joint HydroMAN‐ICNN framework was tested during ICEX20, which provided a nondiverging high‐resolution navigation solution—with the majority of error below 15 m—that facilitated a successful AUV recovery through a small ice hole after an 11 km untethered run in the upper and mid‐water column.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1002/rob.22133en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceWileyen_US
dc.subjectComputer Science Applicationsen_US
dc.subjectControl and Systems Engineeringen_US
dc.titleA high‐resolution AUV navigation framework with integrated communication and tracking for under‐ice deploymentsen_US
dc.typeArticleen_US
dc.identifier.citationRandeni, S., Schneider, T., Bhatt, E.C., Víquez, O.A. & Schmidt, H. (2023) A high-resolution AUV navigation framework with integrated communication and tracking for under-ice deployments. Journal of Field Robotics, 40, 346–367.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentWoods Hole Oceanographic Institution
dc.relation.journalJournal of Field Roboticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-04-22T20:30:08Z
dspace.orderedauthorsRandeni, S; Schneider, T; Bhatt, EC; Víquez, OA; Schmidt, Hen_US
dspace.date.submission2024-04-22T20:30:10Z
mit.journal.volume40en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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