Abstract
In nature, localization is a very fundamental task for which natural evolution has come up with many powerful solutions. In technical applications, however, localization is still quite a challenge, since most ready-to-use systems are not satisfactory in terms of costs, resolution, and effective range. This paper proposes a new localization system that is largely inspired by auditory system of the barn owl. A first prototype has been implemented on a low-cost field-programmable gate array and is able to determine the time difference of two 300MHz signals with a resolution of about 0.02ns, even though the device is clocked as slow as 85MHz. X-ORCA is able to achieve this performance by adopting some of the core properties of the biological role model.
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Heinrich, E., Lüder, M., Joost, R., Salomon, R. (2011). X-ORCA - A Biologically Inspired Low-Cost Localization System. In: Dobnikar, A., Lotrič, U., Šter, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2011. Lecture Notes in Computer Science, vol 6594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20267-4_39
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DOI: https://doi.org/10.1007/978-3-642-20267-4_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20266-7
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