Utilize este identificador para referenciar este registo: http://hdl.handle.net/10437/9737
Registo completo
Campo DCValorIdioma
dc.contributor.authorTomic, Slavisa
dc.contributor.authorBeko, Marko
dc.contributor.authorDinis, Rui
dc.contributor.authorGomes, João Pedro
dc.date.accessioned2019-08-26T14:28:49Z
dc.date.available2019-08-26T14:28:49Z
dc.date.issued2017
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10437/9737
dc.descriptionSensorspt
dc.description.abstractThis work addresses the problem of tracking a signal-emitting mobile target in wireless sensor networks (WSNs) with navigated mobile sensors. The sensors are properly equipped to acquire received signal strength (RSS) and angle of arrival (AoA) measurements from the received signal, while the target transmit power is assumed not known. We start by showing how to linearize the highly non-linear measurement model. Then, by employing a Bayesian approach, we combine the linearized observation model with prior knowledge extracted from the state transition model. Based on the maximum a posteriori (MAP) principle and the Kalman filtering (KF) framework, we propose new MAP and KF algorithms, respectively. We also propose a simple and efficient mobile sensor navigation procedure, which allows us to further enhance the estimation accuracy of our algorithms with a reduced number of sensors. Model flaws, which result in imperfect knowledge about the path loss exponent (PLE) and the true mobile sensors’ locations, are taken into consideration. We have carried out an extensive simulation study, and our results confirm the superiority of the proposed algorithms, as well as the effectiveness of the proposed navigation routine.en
dc.formatapplication/pdf
dc.language.isoengpt
dc.publisherMDPIen
dc.rightsopenAccess
dc.subjectTARGET TRACKINGen
dc.subjectRECEIVED SIGNAL STRENGTHen
dc.subjectANGLE OF ARRIVALen
dc.subjectKALMAN FILTERen
dc.subjectENGENHARIA ELETROTÉCNICApt
dc.subjectELECTROTECHNICAL ENGINEERINGen
dc.subjectTARGET TRACKINGpt
dc.subjectFILTRO DE KALMANpt
dc.subjectRECEIVED SIGNAL STRENGTHpt
dc.subjectANGLE OF ARRIVALpt
dc.titleTarget Tracking with Sensor Navigation Using Coupled RSS and AoA Measurementsen
dc.typearticlept
Aparece nas colecções:MOVLAB - Artigos de Revistas Internacionais com Arbitragem Científica

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
tomic_sensors-17-02690_published_version.pdf1.14 MBAdobe PDFVer/Abrir


Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.