Optimal CCD readout by digital correlated double sampling
Cristobal Alessandri, Angel Abusleme, Dani Guzman, Ignacio, Passalacqua, Enrique Alvarez-Fontecilla, Marcelo Guarini

TL;DR
This paper presents a comprehensive theoretical analysis and optimization methodology for digital correlated double sampling (DCDS) in CCD readout systems, improving performance understanding and design accuracy.
Contribution
It develops an accurate, closed-form model for DCDS performance, including digital filter effects, enabling systematic optimization for specific CCD applications.
Findings
Derived a closed-form SNR expression for DCDS systems
Validated the model with simulations using time- and frequency-domain noise models
Provided a systematic design methodology for optimal CCD readout
Abstract
Digital correlated double sampling (DCDS), a readout technique for charge-coupled devices (CCD), is gaining popularity in astronomical applications. By using an oversampling ADC and a digital filter, a DCDS system can achieve a better performance than traditional analogue readout techniques at the expense of a more complex system analysis. Several attempts to analyse and optimize a DCDS system have been reported, but most of the work presented in the literature has been experimental. Some approximate analytical tools have been presented for independent parameters of the system, but the overall performance and trade-offs have not been yet modelled. Furthermore, there is disagreement among experimental results that cannot be explained by the analytical tools available. In this work, a theoretical analysis of a generic DCDS readout system is presented, including key aspects such as the…
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