6.7 A 1.2e− temporal noise 3D-stacked CMOS image sensor with comparator-based multiple-sampling PGA
This paper presents a 1.2e-, 3D-stacked CMOS image sensor (CIS) for mobile applications. A key motivation for using a stacked configuration is to minimize the chip area. Also, since numerous components must be integrated into the bottom chip, a scaled 65nm CMOS process is adopted for the bottom chip...
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Published in: | 2016 IEEE International Solid-State Circuits Conference (ISSCC) pp. 122 - 123 |
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Main Authors: | , , , , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-01-2016
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Subjects: | |
Online Access: | Get full text |
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Summary: | This paper presents a 1.2e-, 3D-stacked CMOS image sensor (CIS) for mobile applications. A key motivation for using a stacked configuration is to minimize the chip area. Also, since numerous components must be integrated into the bottom chip, a scaled 65nm CMOS process is adopted for the bottom chip. The developed CIS features 1.2e- temporal noise with extremely high power efficiency by employing a multiple-sampling (MS) technique. A 2nd-order incremental ΔΣ ADC with inverter-based switched-capacitor integrator realizes the MS technique with low power [1]. However, an exponential number of samples are required to reduce the quantization noise, and conversion speed worsens with higher bit resolution. An extended counting ADC, which is a blend of folding integration and cyclic ADC, attains high resolution with reduced conversion time [2-3]. However, an op-amp with high open-loop gain is required for good linearity and column-to-column matching characteristics, which increases power consumption. Also it is not suitable for scaled CMOS technology. An alternative approach is a single-slope (SS) based MS technique [4], in which two SS-ADCs convert the same pixel signal, and the readout signal is averaged in the digital domain, but the noise improvement is limited to -3dB and the power consumption and area occupation are roughly doubled. |
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ISBN: | 1467394661 9781467394666 |
ISSN: | 2376-8606 |
DOI: | 10.1109/ISSCC.2016.7417937 |