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dc.contributor.authorMunafò, Andrea
dc.contributor.authorCanepa, Gaetano
dc.contributor.authorLePage, Kevin D.
dc.date.accessioned2019-06-19T08:25:21Z
dc.date.available2019-06-19T08:25:21Z
dc.date.issued2019/05
dc.identifier.govdocCMRE-PR-2019-051en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12489/791
dc.description.abstractRecent advances in transducer and computing technology have pushed the concept of continuous active sonar (CAS) or high duty cycle sonar as an area of interest for application to antisubmarine warfare. Unlike conventional pulsed active sonars, CAS processing aims at detecting echoes while transmitting with a nearly 100% duty cycle. This paper describes the signal processing chain developed at the Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy, for real-time CAS processing within an autonomous networked multistatic sonar system. The algorithm uses subband processing, which can potentially provide a higher target update rate than the traditional pulsed active sonar, while maintaining the same search radius. The higher rate of contact information can improve target tracking performance. Performance results are given from the COLLAB-NGAS14 sea trial where the CAS processor was deployed on two autonomous underwater vehicles (AUVs) acting as receivers of the CMRE experimental multistatic demonstrator. Results show the feasibility of the CAS concept in littoral scenarios, using AUVs as real-time receivers.en_US
dc.format15 p. : ill. ; digital, PDF fileen_US
dc.language.isoenen_US
dc.publisherCMREen_US
dc.sourceIn: IEEE Journal of Oceanic Engineering (Early Access), July 2018, pp. 1-15, doi: 10.1109/JOE.2018.2850578en_US
dc.subjectContinuous active sonar (CAS)en_US
dc.subjectAnti-Submarine Warfare (ASW)en_US
dc.subjectAutonomous Underwater Vehicles (AUV)en_US
dc.subjectMultistatic sonaren_US
dc.subjectSignal processingen_US
dc.subjectCOLLAB/NGAS14 trialen_US
dc.titleContinuous active sonars for littoral undersea surveillanceen_US
dc.typeReprint (PR)en_US
dc.typePapers and Articlesen_US


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