Optical fiber magnetic field sensors and signal processing for vehicle detection and classification

Igor A. Kostic; Carvel E. Holton; Richard O. Claus

doi:10.1117/12.335718

8 January 1999 Optical fiber magnetic field sensors and signal processing for vehicle detection and classification

Igor A. Kostic, Carvel E. Holton, Richard O. Claus

Proceedings Volume 3525, Mobile Robots XIII and Intelligent Transportation Systems; (1999) https://doi.org/10.1117/12.335718
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

A miniaturized optical fiber magnetometer has been designed, assembled and evaluated for the detection and classification of vehicles. The sensor element consists of a Fabry-Perot cavity formed between the parallel ends of a high quantity cylindrical metallic glass ribbon and a single mode optical fiber, both held int a hollow tube with an inner diameter several microns larger than the ribbon and the fiber. This sensor head is then potted in a small-diameter, rugged, nonmagnetic housing to allow handling and installation into a protected section of parking lot or other environment to enable vehicle signature detection and analysis. The minimum detectable magnetic field is on the order of 100 nT at dc. The sensor has been used to evaluate the potential detection and analysis of vehicle signatures. When material in a vehicle passes nearby the sensor element, it perturbs the magnetic field and produces a complex output signal dependent upon the shape of the ferrous material in the vehicle, its distance and orientation with respect to the sensor element, and the sped of the vehicle. We have also considered the use of wavelet methods to allow the processing of such data, because it allows variations in differential phasing corresponding to varying vehicles speeds.

Citation Download Citation

Igor A. Kostic, Carvel E. Holton, and Richard O. Claus "Optical fiber magnetic field sensors and signal processing for vehicle detection and classification", Proc. SPIE 3525, Mobile Robots XIII and Intelligent Transportation Systems, (8 January 1999); https://doi.org/10.1117/12.335718

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