Print Email Facebook Twitter Temporal noise analysis of charge-domain sampling readout circuits for cmos image sensors Title Temporal noise analysis of charge-domain sampling readout circuits for cmos image sensors Author Ge, X. (TU Delft Electronic Instrumentation) Theuwissen, A.J.P.A.M. (TU Delft Electronic Instrumentation; Harvest Imaging) Date 2018 Abstract This paper presents a temporal noise analysis of charge-domain sampling readout circuits for Complementary Metal-Oxide Semiconductor (CMOS) image sensors. In order to address the trade-off between the low input-referred noise and high dynamic range, a Gm-cell-based pixel together with a charge-domain correlated-double sampling (CDS) technique has been proposed to provide a way to efficiently embed a tunable conversion gain along the read-out path. Such readout topology, however, operates in a non-stationery large-signal behavior, and the statistical properties of its temporal noise are a function of time. Conventional noise analysis methods for CMOS image sensors are based on steady-state signal models, and therefore cannot be readily applied for Gm-cell-based pixels. In this paper, we develop analysis models for both thermal noise and flicker noise in Gm-cell-based pixels by employing the time-domain linear analysis approach and the non-stationary noise analysis theory, which help to quantitatively evaluate the temporal noise characteristic of Gm-cell-based pixels. Both models were numerically computed in MATLAB using design parameters of a prototype chip, and compared with both simulation and experimental results. The good agreement between the theoretical and measurement results verifies the effectiveness of the proposed noise analysis models. Subject Charge-domain samplingCMOS image sensorDynamic rangeLow noiseNon-steady-state signal analysisPixel-level amplification To reference this document use: http://resolver.tudelft.nl/uuid:13645115-de69-41fa-8ed7-fa2b6ddb4049 DOI https://doi.org/10.3390/s18030707 ISSN 1424-8220 Source Sensors, 18 (3), 1-16 Part of collection Institutional Repository Document type journal article Rights © 2018 X. Ge, A.J.P.A.M. Theuwissen Files PDF sensors_18_00707.pdf 6.34 MB Close viewer /islandora/object/uuid:13645115-de69-41fa-8ed7-fa2b6ddb4049/datastream/OBJ/view