Journal of Radiation Research and Radiation Proces ›› 2018, Vol. 36 ›› Issue (2): 20701-020701.doi: 10.11889/j.1000-3436.2018.rrj.36.020701

• RADIATION INTERDISCIPLINARY RESEARCH • Previous Articles    

Auto-detection method for random telegraph signal noise detection for CMOS active pixel sensors based on real-time thresholds

ZHENG Ran1, ZHAO Ruiguang1,2, LIU Chao1, HU Yongcai2   

  1. 1. School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China;
    2. University of Strasbourg, Strasbourg 67037, France
  • Received:2018-02-05 Revised:2018-02-28 Online:2018-04-20 Published:2018-04-19
  • Supported by:

    Supported by National Natural Science Foundation of China (61306128), Natural Science Foundation of Shaanxi Province, China (2017JM6084)

Abstract:

Based on the study of radiation-induced random telegraph signal (RTS) noise in CMOS active pixel sensors, we propose a real-time auto-detection method for RTS detection, reconstruction, and parameters extraction. 60Co g-ray radiation experimental results reveal that, using the proposed method and employing the standard deviation of real-time Gaussian noise as the detection threshold, 257 out of 282 multilevel RTS transitions were successfully detected, thus, indicating a detection efficiency of 91%. This detection efficiency is 16% higher than that obtained in the detection method that uses signal standard deviation as the detection threshold.

Key words: Random telegraph signal, Dark signal, Radiation, Charged particle tracking, Threshold based detection

CLC Number: 

  • TL8