X-ORCA: a biologically inspired low-cost localization system

Authors:
Enrico Heinrich;Marian Lüder;Ralf Joost;Ralf Salomon
Affiliations:
University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany
Venue:
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Year:
2011

Citing 2
Cited 1

Introduction to the theory of neural computation

Introduction to the theory of neural computation
BOUNCE: A New High-Resolution Time-Interval Measurement Architecture

IEEE Embedded Systems Letters

X-ORCA: FPGA-based wireless localization in the sub-millimeter range

Proceedings of the ACM/SIGDA international symposium on Field Programmable Gate Arrays

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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 0.02 ns, 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.