Title :
Digital background calibration for pipelined SAR ADC based on LMS algorithm
Author :
Qing Lei ; Zhaohui Wu ; Bin Li ; Haijun Wu
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
In this paper, a digital background error-correction technique for pipelined successive approximation analogue-to-digital converter (SAR ADC) based on Least Mean Square (LMS) algorithm is presented. This technique uses a slow but accurate ADC as a reference ADC and combines with LMS algorithm to calibrate the capacitor mismatch, gain error, reference voltage offset error of the inaccurate pipelined SAR ADC. The simulation validates the effectiveness of this technique for a pipelined SAR ADC with 16 bit resolution. The effective number of bits(ENOB) is improved from 10.31 bits to 15.66 bits.
Keywords :
analogue-digital conversion; calibration; error correction; least mean squares methods; LMS algorithm; capacitor mismatch; digital background calibration; digital background error-correction technique; effective number of bits; gain error; least mean square algorithm; pipelined SAR ADC; pipelined successive approximation analogue-to-digital converter; reference voltage offset error; word length 16 bit; Algorithm design and analysis; Least squares approximations; LMS algorithm; digital background calibration; pipelined SAR ADC;
Conference_Titel :
Electron Devices and Solid-State Circuits (EDSSC), 2013 IEEE International Conference of
Conference_Location :
Hong Kong
DOI :
10.1109/EDSSC.2013.6628208