OCEANS 2015 - Genova 2015
DOI: 10.1109/oceans-genova.2015.7271578
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Development of the “Seatrac” miniature acoustic modem and USBL positioning units for subsea robotics and diver applications

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Cited by 38 publications
(20 citation statements)
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“…Since the iUSBL range is limited by frequency—and thus ultimately by transducer size—it may be the component most difficult to miniaturize to fit on a small AUV. However, USBL units piggybacking low‐bandwidth communications capabilities on the positioning signal are becoming commonplace, and would provide some flexibility in placing the transducer on the dock and sending the position measurement from there (also providing a certain level of regular data communications and telemetry back from the AUV when nearby).…”
Section: Resultsmentioning
confidence: 99%
“…Since the iUSBL range is limited by frequency—and thus ultimately by transducer size—it may be the component most difficult to miniaturize to fit on a small AUV. However, USBL units piggybacking low‐bandwidth communications capabilities on the positioning signal are becoming commonplace, and would provide some flexibility in placing the transducer on the dock and sending the position measurement from there (also providing a certain level of regular data communications and telemetry back from the AUV when nearby).…”
Section: Resultsmentioning
confidence: 99%
“…We include a synchronization header (a unique waveform for detection and correlation at the receiver) in our packet model to reflect a typical structure of the low cost underwater acoustic modems, e.g. [47] [48]. The duration of the data packet in our simulation model is calculated as follows:…”
Section: A Simulation Setupmentioning
confidence: 99%
“…Minimum area of the ROI can be set by adjusting measurement noise variance ], while the rate of ROI growth when there are no measurements available can be defined by adjusting process noise parameters, especially . [20]. The combined modem/USBL units are designed as a very compact assembly.…”
Section: Using the Tracking Filter Covariance For Region Of Interestmentioning
confidence: 99%