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dc.contributor.authorGIOIA CIROen_GB
dc.contributor.authorSERMI FRANCESCOen_GB
dc.contributor.authorTARCHI DARIOen_GB
dc.contributor.authorVESPE MICHELEen_GB
dc.contributor.authorKYOVTOROV VLADIMIRen_GB
dc.date.accessioned2017-10-27T00:38:25Z-
dc.date.available2017-10-25en_GB
dc.date.available2017-10-27T00:38:25Z-
dc.date.created2017-10-25en_GB
dc.date.issued2017en_GB
dc.date.submitted2017-03-20en_GB
dc.identifier.isbn978-1-5090-4234-0en_GB
dc.identifier.urihttp://ieeexplore.ieee.org/document/7999609/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC106256-
dc.description.abstractThe growth of applications relying on the Automatic Identification System (AIS) brings to light the need of verification and trustworthiness of AIS data. AIS data are vulnerable to false or missing declarations requiring the implementation of measures increasing the trustworthiness of AIS messages. One of the possible solutions is the comparison between the reported vessel position and the position estimated using for example radiolocalization techniques. The usage of AIS signals for radiolocalization has been already demonstrated, however the main limitation of this technique is the limited coverage. In order to extend the coverage area, data from different networks should be used. In this case an inter-network time bias has to be considered. This offset is due to the lack of standardization about the specific synchronization technique, hence each AIS receiver manufacturer can implement time extraction using different algorithms. If devices from the same manufacturer are employed, the offset between the receivers is negligible, whereas if dissimilar receivers are used, the offsets could prevent the correct outcome of the classical radiolocalization techniques. In order to fill in this gap, a ”Multi-Network (MN) Time Difference Of Arrival (TDOA)” algorithm has been designed. The approach extends the traditional TDOA technique, by working out any synchronization problem. The algorithm has been tested in simulated scenarios. From the results, the effects of the inter-network bias have been investigated and the benefits of the inclusion of heterogeneous stations, either non-synchronized or with different accuracies, have been shown. Moreover, the maximum tolerable asynchronism between the receivers included in the network has been evaluated.en_GB
dc.description.sponsorshipJRC.E.6-Demography, Migration and Governanceen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherIEEEen_GB
dc.relation.ispartofseriesJRC106256en_GB
dc.titleInter-Network Bias: impact on Multi-Network TDOAen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1109/MetroAeroSpace.2017.7999609en_GB
JRC Directorate:Space, Security and Migration

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