Print Email Facebook Twitter An Error Feedback Noise Shaping SAR ADC Title An Error Feedback Noise Shaping SAR ADC Author Tatu, Cristi (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Electronic Instrumentation) Contributor Makinwa, K.A.A. (mentor) Bolatkale, M. (mentor) Alavi, S.M. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Microelectronics Date 2019-06-21 Abstract Analog-to-digital converters are important blocks in any electronic system which act as a bridge between analog signals and digital processors. The conventional SAR ADC employs a binary search algorithm and has emerged as the most suitable solution for low-power applications, due to its excellent power efficiency. The proposed ADC architecture incorporates a new design approach which combines the high resolution capabilities of oversampled ADCs with a 5-bit configuration asynchronous SAR ADC. In this thesis, the theory, analysis and design of a 2nd order error feedback noise shaping SAR are addressed. The underlying concept of the error feedback topology is to optimize the location of complex zeros in the noise transfer function and improve the SQNR for a lower sampling frequency. The stringent power and area budget imposes challenges in designing active blocks with a low transistor count. The impact of a new switching scheme for the capacitive DAC is examined analytically while considering the trade-off between linearity and power savings. The design uses a small assisting SAR and reaches 96% improvement in power consumption due to switching when comparing to a conventional scheme. The converter operates at 1 MHz and consumes 11 $\mu$W, from a 1.8 V supply. In a bandwidth of 20 kHz and an OSR of 25, it achieves an SNDR of 71 dB, an ENOB of 11.5 bits and a Walden FOM of 98 fJ/conversion-step. Subject Noise Shaping SAR ADCSAR ADCcapacitive DACswitching schemeCMOSenergy efficientADC To reference this document use: http://resolver.tudelft.nl/uuid:2ffea978-0a5c-4474-8460-7bdf9046866a Part of collection Student theses Document type master thesis Rights © 2019 Cristi Tatu Files PDF Tatu_Cristian_Ionut_An_Er ... AR_ADC.pdf 10.55 MB Close viewer /islandora/object/uuid:2ffea978-0a5c-4474-8460-7bdf9046866a/datastream/OBJ/view