| Autor: |
Franco Maloberti, Yuanjun Cen, Quanyuan Feng, Hadi Heidari, Jingtao Li, Hu Daqian, Yang Liu, Hua Fan, Li Dagang |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
Nanoscience and Nanotechnology Letters. 9:2076-2082 |
| ISSN: |
1941-4900 |
| DOI: |
10.1166/nnl.2017.2543 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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