Overcoming Unknown Measurement Noise Powers in Multistatic Target Localization: A Cyclic Minimization and Joint Estimation Algorithm

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dc.contributor.authorYang, J.
dc.contributor.authorLiu, C.
dc.contributor.authorHuang, J.
dc.contributor.authorHu, D.
dc.contributor.authorZhao, C.
dc.coverage.issue3cs
dc.coverage.volume32cs
dc.date.accessioned2023-10-11T08:00:47Z
dc.date.available2023-10-11T08:00:47Z
dc.date.issued2023-09cs
dc.description.abstractThis paper investigates the issue of multistatic target localization using measurements including angle of arrival (AOA), time delay (TD), and Doppler shift (DS). We delve into a practically driven nonideal localization scenario where the measurement noise powers remain unknown. An algorithm that jointly estimates target position-velocity and measurement noise powers is proposed. Initially, an optimization model for the joint estimation is developed following the maximum likelihood estimation criterion. Subsequently, we cyclically minimize the optimization model to yield estimates for target position-velocity and measurement noise powers. The Cramer-Rao lower bound (CRLB) for this joint estimation is also derived. Contrary to existing algorithms, our proposed method eliminates the need for prior knowledge of measurement noise powers, simultaneously estimating the target position-velocity and measurement noise powers. Simulation results indicate superior localization accuracy with our algorithm, particularly in scenarios with unknown measurement noise powers. Furthermore, at moderate noise levels, the algorithm's estimation accuracy for target position-velocity and measurement noise powers meets the CRLB.en
dc.formattextcs
dc.format.extent415-424cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2023 vol. 32, č. 3, s. 415-424. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2023.0415en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/214335
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2023/23_03_0415_0424.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectMultistatic target localizationen
dc.subjectangle of arrivalen
dc.subjecttime delayen
dc.subjectDoppler shiften
dc.subjectmeasurement noise poweren
dc.titleOvercoming Unknown Measurement Noise Powers in Multistatic Target Localization: A Cyclic Minimization and Joint Estimation Algorithmen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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