On the Capability of Artificial Neural Networks to Compensate Nonlinearities in Wavelength Sensing

Sensors

Mohamed Lamine Hafiane¹  Zohir Dibi¹ 

[1] Laboratoire d’Electronique Avancée, Département d’Electronique, Université de Batna, 05 avenue Chahid Boukhlouf 05000 Batna, Algeria; E-Mail:

关键词: Buried photo PN junctions;    Artificial Neural Network;    wavelength measurement;   

DOI  :  10.3390/s90402884

来源: mdpi

【 摘 要 】

An intelligent sensor for light wavelength readout, suitable for visible range optical applications, has been developed. Using buried triple photo-junction as basic pixel sensing element in combination with artificial neural network (ANN), the wavelength readout with a full-scale error of less than 1.5% over the range of 400 to 780 nm can be achieved. Through this work, the applicability of the ANN approach in optical sensing is investigated and compared with conventional methods, and a good compromise between accuracy and the possibility for on-chip implementation was thus found. Indeed, this technique can serve different purposes and may replace conventional methods.

【 授权许可】

CC BY   
© 2009 by the authors; licensee MDPI, Basel, Switzerland