Towards highly linear high resolution successive approximation register ADCs for the Internet of Things

Fan, H., Liu, Y., Li, J., Maloberti, F., Feng, Q., Li, D., Hu, D., Cen, Y. and Heidari, H. (2017) Towards highly linear high resolution successive approximation register ADCs for the Internet of Things. Nanoscience and Nanotechnology Letters, 9(12), pp. 2076-2082. (doi: 10.1166/nnl.2017.2543)

Abstract

This paper presents an effective technique to improve both the static and dynamic linearity simultaneously without sacrificing the sampling rate in high-resolution successive approximation register (SAR) analog-to-digital converter (ADC) for Internet-of-Things (IoT) application. Results show that the technique proposed can improve the root-mean-square (rms) of differential non-linearity (DNL) from 1.96 LSB to 0.52 LSB and rms of integral non-linearity (INL) from 3.24 LSB to 0.55 LSB; On the other hand, the averaged Signal-to-Noise-and-Distortion Ratio (SNDR) and Spurious Free Dynamic Range (SFDR) of 13.4 dB and near 20 dB are improved respectively, which makes it suitable for accurate and linear smart sensor nodes in IoT sensing systems.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Heidari, Professor Hadi
• Authors: Fan, H., Liu, Y., Li, J., Maloberti, F., Feng, Q., Li, D., Hu, D., Cen, Y., and Heidari, H.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Nanoscience and Nanotechnology Letters
• Journal Abbr.: NNL
• Publisher: American Scientific Publishers
• ISSN: 1941-4900
• ISSN (Online): 1941-4919