2015
DOI: 10.1109/tcsii.2015.2435071
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A Predetermined LMS Digital Background Calibration Technique for Pipelined ADCs

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Cited by 18 publications
(8 citation statements)
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“…Al propose a digital background calibration technique with LMS algorithm to righteous the capacitor mismatch and error gains in which the conversion time is significantly reduced as compared to the same LMS techniques used in the other publication in the year 2014 by B. Zenali. The technique was simulated on 12-bit 100MS/s spilt pipelined ADC [14]. Another work attained shorter calibration times for split pipelined ADC and handled the non-orthogonality's of calibration loop.…”
Section: Figmentioning
confidence: 99%
“…Al propose a digital background calibration technique with LMS algorithm to righteous the capacitor mismatch and error gains in which the conversion time is significantly reduced as compared to the same LMS techniques used in the other publication in the year 2014 by B. Zenali. The technique was simulated on 12-bit 100MS/s spilt pipelined ADC [14]. Another work attained shorter calibration times for split pipelined ADC and handled the non-orthogonality's of calibration loop.…”
Section: Figmentioning
confidence: 99%
“…Therefore, the input–output characteristic of residue amplifier is approximated by a third-order Taylor series polynomial, and neglecting higher-order terms as follows (Sahoo and Razavi, 2009; Panigada and Galton, 2009): where V res , V x and α 3 denote the output residue voltage, the input residue voltage and third-order nonlinearity of the residue amplifier, respectively. Furthermore, α 1 is defined as follows (Sahoo and Razavi, 2009; Montazerolghaem et al , 2015): where A represents finite DC gain and C s /C F is defined as follows: where δ represents the capacitor mismatch (Zeinali et al , 2014). Therefore, α 1 shows the capacitor mismatch together with finite DC gain of the residue amplifier.…”
Section: Pipelined Analog-to-digital Converter Architecture Multiplying Digital-to-analog Converter Modelingmentioning
confidence: 99%
“…The normal operation of the pipelined ADCs is interrupted in foreground calibrations while background techniques continuously detects and removes the errors. The most popular digital background calibration methods are categorized into histogram-based (Brooks and Lee, 2008; Gholami and Yavari, 2017), statistical-based (Mafi et al , 2018; Mafi et al , 2016), correlation-based (Panigada and Galton, 2006; Panigada and Galton, 2009) and deterministic (McNeill et al , 2009; Sarkar et al , 2015; Sehgal et al , 2015; Montazerolghaem et al , 2015; Zia et al , 2019). The priority of deterministic techniques over others is the faster calibration time.…”
Section: Introductionmentioning
confidence: 99%
“…when the output voltage reaches its final value. Therefore according to Equation 5, Equations (15)- (17), and Equation 19, we can obtain the following simplified Equations 20…”
Section: Input Cls-based Offset and Finite-gain Compensated Sc Amplifiermentioning
confidence: 99%
“…Recently, several techniques have been developed to alleviate the finite gain error of op-amps in SC circuits, such as comparator-based SC (CBSC) circuits [11,12], digital circuits-based SC circuits, which are also called zero-crossing-detectors-based (ZCD) SC circuits [13][14][15] and digital calibration algorithms [16][17][18]. However, CBSC circuits introduce large offset errors and linearity problems due to the output overshoots and voltage drop on switches [19].…”
Section: Introductionmentioning
confidence: 99%