ARTÍCULO
TITULO

An Automatic Offset Calibration Method for Differential Charge-Based Capacitance Measurement

Umberto Ferlito    
Alfio Dario Grasso    
Michele Vaiana and Giuseppe Bruno    

Resumen

Charge-Based Capacitance Measurement (CBCM) technique is a simple but effective technique for measuring capacitance values down to the attofarad level. However, when adopted for fully on-chip implementation, this technique suffers output offset caused by mismatches and process variations. This paper introduces a novel method that compensates the offset of a fully integrated differential CBCM electronic front-end. After a detailed theoretical analysis of the differential CBCM topology, we present and discuss a modified architecture that compensates mismatches and increases robustness against mismatches and process variations. The proposed circuit has been simulated using a standard 130-nm technology and shows a sensitivity of 1.3 mV/aF and a 20× reduction of the standard deviation of the differential output voltage as compared to the traditional solution.

 Artículos similares

       
 
Min Zhang, Zhongwei Yu, Hai Wang, Hongbo Qin, Wei Zhao and Yan Liu    
Neural network shows great potential in modulation classification because of its excellent accuracy and achievability but overfitting and memorizing data noise often happen in previous researches on automatic digital modulation classifier. To solve this ... ver más
Revista: Applied Sciences

 
Mingxuan Li, Ou Li, Guangyi Liu and Ce Zhang    
Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in developin... ver más
Revista: Applied Sciences