DocumentCode
1434801
Title
Performance Simulation and Architecture Optimization for CMOS Image Sensor Pixels Scaling Down to 1.0
Author
Zhang, Fudi ; Zhang, Jianqi ; Yang, Cui ; Zhang, Xiang
Author_Institution
Sch. of Tech. Phys., Xidian Univ., Xi´´an, China
Volume
57
Issue
4
fYear
2010
fDate
4/1/2010 12:00:00 AM
Firstpage
788
Lastpage
794
Abstract
As the pixel dimensions of complementary metal-oxide-semiconductor sensors are approaching the wavelength of visible light, significant diffraction effects occur in the pixel architecture region, resulting in decreased optical efficiency and increased spatial crosstalk. By introducing the finite-difference time-domain approach, the performance of the typical 1.75-, 1.35-, and 1.05-μm pitch pixels is simulated and analyzed, respectively, in this brief. Several new approaches, which are beneficial to overcome the physical limitations of the conventional pixel architecture and providing better device characteristics for the sub-2-μm pixels, are developed by analyzing the simulation results. Among them, the optimization in microlens can decrease the optical power loss above the color filter array to a certain extent, and the dielectric stack height reduction and a novel metal light funnel structure can maximize the optical efficiency and minimize the spatial crosstalk. Finally, the performance comparisons demonstrate that the optical characteristics of the optimized 1.05- μm pixel are comparable to those of the conventional 1.75-μm pixel.
Keywords
CMOS image sensors; CMOS image sensor pixels; architecture optimization; color filter array; complementary metal oxide semiconductor sensors; finite difference time domain; metal light funnel structure; microlens; optical efficiency; performance simulation; pixel architecture; pixel dimensions; size 1 μm; spatial crosstalk; visible light; Analytical models; CMOS image sensors; Dielectric losses; Finite difference methods; Optical arrays; Optical crosstalk; Optical diffraction; Optical filters; Optical sensors; Pixel; Cameras; complementary metal–oxide–semiconductor (CMOS); image sensors; integrated optics; modeling;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/TED.2010.2041858
Filename
5427134
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