A CMOS Mixed Mode Non-Linear Processing Unit for Adaptive Sensor Conditioning in Portable Smart Systems. (2016)

• Record Type: Journal Article
• Authors: Martínez-Nieto, A.; Sanz-Pascual, M.T.; Márquez, A.; Pérez-Bailón, J.; Calvo, B.; Medrano, N.
• Is Part Of: Procedia engineering. Volume 168(2016)
• Page Start: 1689
• Page End: 1692
• Publication Date: 2016
• Subjects: artificial neural networks -- CMOS -- sensor calibration; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2016.11.491
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: This paper presents the architecture of a novel non-linear digitally programmable analog unit for sensor output conditioning in battery-operated smart systems. Designed in an 180 nm 1.8 V standard CMOS technology, by properly setting the 6-bit registers in the arithmetic unit, the voltage inputs are weighted before being processed by a non-linear circuit. Thus, a processing system consisting of a set of these devices suitably tuned and interconnected can be applied to condition a non-linear sensor, improving its behavior both in linearity and operating range, while reducing the effects of cross sensitivity. The robustness of the digital weight tuning is tested simulating a chip-on-the-loop training using a Levenberg-Marquardt-based algorithm. Electric simulations of the proposed unit and the results of its application in a complete neural network-based processing system to improve the linear operating range of a thermistor are presented.