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Distributed Superresolution Gas Source Localization based on Poisson Equation

Shutin, Dmitriy and Wiedemann, Thomas and Hinsen, Patrick (2023) Distributed Superresolution Gas Source Localization based on Poisson Equation. In: 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023. 2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023-12-10 - 2023-12-13, Costa Rica. doi: 10.1109/camsap58249.2023.10403503. ISBN 979-835034452-3.

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Abstract

Accurate modeling and estimation of airborne material in Chemical, Biological, Radiological, or Nuclear accidents are vital for effective disaster response. In this paper a method that combines prior domain knowledge in terms of Partial Differential Equations (PDEs), sparse Bayesian learning (SBL), and cooperative estimation for multiple robots or sensor networks is proposed to identify the number and locations of gas sources. Using method of Green’s functions and the adjoint state method, a gradient-based optimization with respect to source location is derived, allowing superresolving (arbitrary) source locations. By combing the latter with SBL, a sparse source support can be identified, thus indirectly assessing the number of sources. Both steps are computed cooperatively, utilizing the agent network to share information. Simulation results demonstrate the effectiveness of the approach.

Item URL in elib:https://elib.dlr.de/199996/
Document Type:Conference or Workshop Item (Poster)
Title:Distributed Superresolution Gas Source Localization based on Poisson Equation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Shutin, DmitriyUNSPECIFIEDhttps://orcid.org/0000-0002-6065-6453UNSPECIFIED
Wiedemann, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hinsen, PatrickUNSPECIFIEDhttps://orcid.org/0000-0002-4561-9769UNSPECIFIED
Date:10 December 2023
Journal or Publication Title:9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/camsap58249.2023.10403503
ISBN:979-835034452-3
Status:Published
Keywords:Sparse Bayesian learning, Super-res0olution, Partial differential equations, Poisson equation, gas source localization
Event Title:2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Event Location:Costa Rica
Event Type:international Conference
Event Start Date:10 December 2023
Event End Date:13 December 2023
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Digitalisation
DLR - Program:D IAS - Innovative Autonomous Systems
DLR - Research theme (Project):D - STARE
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Shutin, Dmitriy
Deposited On:29 Nov 2023 19:16
Last Modified:24 Apr 2024 21:00

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