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A dynamic photoresponse model for a pinned photodiode in CMOS image sensors

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Abstract

A novel dynamic photoresponse model for complementary metal-oxide-semiconductor (CMOS) image sensors with pinned photodiode (PPD) structures is proposed. The PPD is regarded as the bonding structure of the two p-n junctions. The transient current equation of the two junctions is calculated by the current-voltage formula of the p-n junction, and the photoresponse curve of the PPD is calculated and drawn by the numerical solution. Simulation results show that the dynamic model successfully restores the entire process of the electron accumulation in the PPD. The difference between the full well capacity (FWC) values which were calculated by the proposed model and the simulation results is less than 5%, which is much smaller than the error of 40% for the traditional model.

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References

  1. MARCELOT O, GOIFFON V, NALLET F, et al. Pinned photodiode CMOS image sensor TCAD simulation: in-depth analysis of in-pixel pinning voltage measurement for a diagnostic tool[J]. IEEE transactions on electron devices, 2017, 64(2): 455–462.

    Article  ADS  Google Scholar 

  2. PRIYADARSHINI N, SARKAR M. A 2erms-temporal noise CMOS image sensor with in-pixel 1/f noise reduction and conversion gain modulation for low light imaging[J]. IEEE transactions on circuits and systems I: regular papers, 2021, 68(1): 185–195.

    Article  Google Scholar 

  3. RIZZOLO S, GOIFFON V, ESTRIBEAU M, et al. Influence of pixel design on charge transfer performances in CMOS image sensors[J]. IEEE transactions on electron devices, 2018, 65(3): 1048–1055.

    Article  ADS  Google Scholar 

  4. PELAMATTI A, BELLOIR J-M, MESSIEN C, et al. Temperature dependence and dynamic behavior of full well capacity in pinned photodiode CMOS image sensors[J]. IEEE transactions on electron devices, 2015, 62(4): 1200–1207.

    Article  ADS  Google Scholar 

  5. ALAIBAKHSH H, KARAMI M A. A general compact pinned photodiode model capable of miniature PPD modeling[J]. IEEE transactions on electron devices, 2021, 68(6): 2785–2790.

    Article  ADS  Google Scholar 

  6. GAO Z, XU J, ZHOU Y, et al. Analysis and modeling of the light-dependent full well capacity of the 4-T pixel in CMOS image sensors[J]. IEEE sensors journal, 2016, 16(8): 2367–2373.

    Article  ADS  Google Scholar 

  7. KHAN U, SARKAR M. Dynamic capacitance model of a pinned photodiode in CMOS image sensors[J]. IEEE transactions on electron devices, 2018, 65(7): 2892–2898.

    Article  ADS  Google Scholar 

  8. ALAIBAKHSH H, KARAMI M A. Analytical modeling of pinning process in pinned photodiodes[J]. IEEE transactions on electron devices, 2018, 65(10): 4362–4368.

    Article  ADS  Google Scholar 

  9. XIA C, ZHANG Y, LU X, et al. Dynamic model of FWC dependent on the energy-level distribution of interface-state traps in pinned photodiodes[J]. IEEE transactions on electron devices, 2021, 68(4): 1682–1687.

    Article  ADS  Google Scholar 

  10. AKSHAY K, PILLAI P R, BHUVAN B. Analytical modeling of response time and full well capacity of a pinned photo diode[C]//2018 13th International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS), April 9–12, 2018, Taormina, Italy. New York: IEEE, 2018: 17805936.

    Google Scholar 

  11. FORCINA A, CARBONE P. Modelling dark current and hot pixels in imaging sensors[J]. Statistical modelling, 2020, 20(1): 30–41.

    Article  Google Scholar 

  12. PELAMATTI A, GOIFFON V, ESTRIBEAU M, et al. Estimation and modeling of the full well capacity in pinned photodiode CMOS image sensors[J]. IEEE electron device letters, 2013, 34(7): 900–902.

    Article  ADS  Google Scholar 

  13. BOUKHAYMA A. Ultra low noise CMOS image sensors[R]. Cham, Switzerland: Springer, 2018: 15.

    Book  Google Scholar 

  14. CHEN C, BENLAN S, BING Z, et al. An improved model for the full well capacity in pinned photodiode CMOS image sensors[J]. IEEE journal of the electron devices society, 2015, 3(4): 306–310.

    Article  Google Scholar 

  15. EN K, LIU B S, ZHU J S, et al. The physics of semicon ductors[M]. 7th ed. Beijing: Publishing House of Electronics Industry, 2008: 158–187.

    Google Scholar 

  16. NEAMEN D A. Semiconductor physics and devices basic principles[M]. ZHAO Y Q, YAO S Y, XIE X D, et al, Transl. 3rd ed. Beijing: Publishing House of Electronics Industry, 2010: 170–225.

    Google Scholar 

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Correspondence to Zhiyuan Gao.

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This work has been supported by the National Key R&D Program of China (No.2019YFB2204301).

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The authors declare that there are no conflicts of interest related to this article.

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Ao, J., Gao, Z., Gao, J. et al. A dynamic photoresponse model for a pinned photodiode in CMOS image sensors. Optoelectron. Lett. 18, 419–424 (2022). https://doi.org/10.1007/s11801-022-2012-y

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  • DOI: https://doi.org/10.1007/s11801-022-2012-y

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