A Real-time Auto-detection Method for Random Telegraph Signal (RTS)Noise Detection in CMOS Active pixel sensors
作者: R. ZhengR. ZhaoY. MaB. LiX. WeiJ. WangW. GaoT. WeiD. GaoY. Hu
作者单位: 1School of Computer Science and Technology, Northwestern Polytechnical University, 127 Youyixilu, Xi'an, 710072, P.R. China
2Institut Pluridisciplinaire Hubert Curien, CNRS/IN2P3, University of Strasbourg, 23 rue du Loess, 67037, Strasbourg, France
刊名: Journal of Instrumentation, 2015, Vol.10 (7)
来源数据库: Institute of Physics Journal
DOI: 10.1088/1748-0221/10/07/C07013
原始语种摘要: CMOS Active pixel sensors (CMOS APS) are attractive for use in the innermost layers of charged particle trackers, due to their good tradeoffs among the key performances. However, CMOS APS can be greatly influenced by random telegraph signal (RTS) noise, which can cause particle tracking or energy calculation failures. In-depth research of pixels' RTS behavior stimulates the interest of the methods for RTS noise detection, reconstruction and parameters extraction. In this paper, a real-time auto-detection method is proposed, using real-time Gaussian noise standard deviation as the detection threshold. Experimental results show that, compared with current methods using signal standard deviation as the thresholds, the proposed method is more sensitive in multi-level RTS detection and more...
全文获取路径: IOP 

  • pixel 像素
  • RTS Real-Time operating System
  • CMOS Complementary Metal-Oxide-Semiconductor
  • threshold 阈值
  • detection 探测
  • reconstruction 复原
  • noise 噪声
  • Active 活性的
  • particle 颗粒
  • layers