Volume 9 Issue 4
High Frequency Amplitude Detector for GMI Magnetic Sensors
Aktham Asfour, Manel Zidi and Jean-Paul Yonnet
1Laboratorio de Procesamiento Digital de Señales, Departamento de Electrónica, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle de Santiago Km. 3.5 + 1.8 Km., Salamanca 36885, Mexico
2Departamento de Ingeniería Robótica, Universidad Politécnica de Guanajuato, Av. Universidad Norte SN, Comunidad Juan Alonso, Cortazar 38483, Mexico
3Laboratorio de Optoelectrónica, Departamento de Electrónica, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle de Santiago Km. 3.5 + 1.8 Km., Salamanca 36885, Mexico
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Abstract
The implementation of signal filters in a real-time form requires a tradeoff between computation resources and the system performance. Therefore, taking advantage of low lag response and the reduced consumption of resources, in this article, the Recursive Least Square (RLS) algorithm is used to filter a signal acquired from a fiber-optics-based sensor. In particular, a Long-Period Fiber Grating (LPFG) sensor is used to measure the bending movement of a finger. After that, the Gaussian Mixture Model (GMM) technique allows us to classify the corresponding finger position along the motion range. For these measures to help in the development of an autonomous robotic hand, the proposed technique can be straightforwardly implemented on real time platforms such as Field Programmable Gate Array (FPGA) or Digital Signal Processors (DSP). Different angle measurements of the finger’s motion are carried out by the prototype and a detailed analysis of the system performance is presented.Keywords:fiber-optics sensor; long-period fiber grating; Gaussian mixture model; recursive least-square estimator; finger movement; real-time system