SIMULATION AND MODELING OF A 13-BIT SUCCESSIVE APPROXIMATION REGISTER ANALOG-TO-DIGITAL CONVERTER

Abstract

This paper presents the proposed modeling of a 13-bit auto-configurable
successive approximation register analog digital converter (SAR-ADC) used for
biomedical industry applications. With a Matlab model, the proposed SAR-ADC
uses the non-ideal switching to an ideal ADC model, therefore, the non-ideal
circuitry implemented at the transistor-level as in the conventional methodology
can be isolated. The SAR ADC blocks are modelled according to how the ADC
works in voltage mode or current mode and under non-ideal cases such as the
effects of clock jitter and noise. Thanks to the above advantages, the behavioral
modeling method allows the designer to create an environment to give the most
accurate electrical and dynamic parameters. With 13-bit SAR ADC, this paper has
measured performance parameters as signal-to-noise ratio (SNR) as high as
79.96dB, effective numbers of bits (ENoB) of 12.98 bits with the spurious-free
dynamic range (SFDR) of only 101.16dB.