A 12-bit 32MS/s SAR ADC using built-in self calibration technique to minimize capacitor mismatch

Author(s):  
In-Seok Jung ◽  
Yong-Bin Kim
2010 ◽  
Vol E93-C (11) ◽  
pp. 1630-1637 ◽  
Author(s):  
Yasuhide KURAMOCHI ◽  
Masayuki KAWABATA ◽  
Kouichiro UEKUSA ◽  
Akira MATSUZAWA

Author(s):  
Hua Fan ◽  
Franco Maloberti ◽  
Dagang Li ◽  
Daqian Hu ◽  
Yuanjun Cen ◽  
...  

2013 ◽  
Vol 19 (6) ◽  
pp. 454-458
Author(s):  
Yiqiang Zhao ◽  
Nan Jia ◽  
Peng Dai ◽  
Ming Yang

2015 ◽  
Vol 10 (3) ◽  
pp. 187-200
Author(s):  
Inseok Jung ◽  
Kyung Ki Kim ◽  
Yong-Bin Kim

This paper proposes a novel Built-in Self Calibration (BISC) technique for a 12-bit 32MS/s successive approximation register (SAR) analog-to-digital converter (ADC) using a single input to reduce the capacitor mismatch of the digital-to-analog converter (DAC) and to compensate the comparator input offset voltage. The proposed self-calibration scheme optimize the mismatch of the DAC by changing additional auxiliary capacitor array during calibration mode. In addition, in order to minimize the offset voltage of the comparator in the SAR ADC, a simplified voltage amplifier is proposed. The controller for the proposed algorithm operates as foreground operation to achieve low power consumption during operation. Compared to the converters that use the conventional procedure, INL and DNL are reduced by about 47% and 52%, respectively. The prototype was designed using 130nm single poly 6 metal standard CMOS technology. The ADC achieves a SNDR of 65.6 dB and consumes 4.62 mW. The ADC core occupies an active area of only 240μmÍ 298 μm using 1.2V supply and the sampling rate of 50 MS/s.


2015 ◽  
Vol 12 (9) ◽  
pp. 20150068-20150068
Author(s):  
Junfeng Gao ◽  
Guangjun Li

Author(s):  
M. A. Abbas ◽  
H. Setan ◽  
Z. Majid ◽  
A. K. Chong ◽  
L. Chong Luh ◽  
...  

Similar to other electronic instruments, terrestrial laser scanner (TLS) can also inherent with various systematic errors coming from different sources. Self-calibration technique is a method available to investigate these errors for TLS which were adopted from photogrammetry technique. According to the photogrammetry principle, the selection of datum constraints can cause different types of parameter correlations. However, the network configuration applied by TLS and photogrammetry calibrations are quite different, thus, this study has investigated the significant of photogrammetry datum constraints principle in TLS self-calibration. To ensure that the assessment is thorough, the datum constraints analyses were carried out using three variant network configurations: 1) minimum number of scan stations; 2) minimum number of surfaces for targets distribution; and 3) minimum number of point targets. Based on graphical and statistical, the analyses of datum constraints selection indicated that the parameter correlations obtained are significantly similar. In addition, the analysis has demonstrated that network configuration is a very crucial factor to reduce the correlation between the calculated parameters.


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