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

• Main Authors: Otto Manck, Zohir Dibi, Mohamed Lamine Hafiane
• Format: Article
• Language: English
• Published: MDPI AG 2009-04-01
• Series: Sensors
• Subjects: Buried photo PN junctions; Artificial Neural Network; wavelength measurement
• Online Access: http://www.mdpi.com/1424-8220/9/4/2884/

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.