Abstract
Dolphins identify objects using their sonar, which works by emitting short acoustic pulses with high bandwidth and high intensity. These echolocation impulses have a double chirp structure. The complex signal structure allows animals to collect more information than simply the distance to the object. They can evaluate object’s size, shape, and even the innards of the object, by processing the whole echo from the object. The study of the dolphins’ clicks inspired a simulation of the signals for echolocation purposes. They are already used for object characterisation. In addition, dolphins’ clicks are adaptive signals. Dolphins can change some parameters of the clicks during recognition process, which allows them to achieve better results for object characterisation. This paper presents background and the main concept of the adaptive echolocation using bio-inspired signals. Implementation of adaptive echolocation is a new approach and can improve object characterisation and will help to achieve more accurate results.
Original language | English |
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Title of host publication | Biomimetic and Biohybrid Systems |
Subtitle of host publication | 4th International Conference, Living Machines 2015, Barcelona, Spain, July 28 - 31, 2015, Proceedings |
Publisher | Springer |
Pages | 403-409 |
Number of pages | 7 |
Volume | 9222 |
ISBN (Electronic) | 978-3-319-22979-9 |
ISBN (Print) | 978-3-319-22978-2 |
DOIs | |
Publication status | Published - 2015 |
Event | 4th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2015 - Barcelona, Spain Duration: 28 Jul 2015 → 31 Jul 2015 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 9222 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 4th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2015 |
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Country/Territory | Spain |
City | Barcelona |
Period | 28/07/15 → 31/07/15 |
ASJC Scopus subject areas
- General Computer Science
- Theoretical Computer Science
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Keith Edgar Brown
- School of Engineering & Physical Sciences - Associate Professor
- School of Engineering & Physical Sciences, Institute of Sensors, Signals & Systems - Associate Professor
Person: Academic (Research & Teaching)