1. Statistical Analysis of Random Telegraph Noises of MOSFET Subthreshold Currents Using a 1M Array Test Chip in a 40 nm Process
- Author
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Chi-Lin Lee, Calvin Yi-Ping Chao, Kuo-Yu Chou, Shang-Fu Yeh, Honyih Tu, Chin-Hao Chang, Meng-Hsu Wu, and Yin Chin
- Subjects
correlated double sampling (CDS) ,Physics ,Subthreshold conduction ,Time constant ,random telegraph signal (RTS) ,TK1-9971 ,Electronic, Optical and Magnetic Materials ,Computational physics ,random telegraph noise (RTN) ,CMOS ,Sampling (signal processing) ,Orders of magnitude (time) ,Logic gate ,MOSFET ,CMOS image sensor (CIS) ,Electrical engineering. Electronics. Nuclear engineering ,Random noise (RN) ,Electrical and Electronic Engineering ,subthreshold current ,Biotechnology ,Voltage - Abstract
It is difficult to measure the random telegraph noises (RTN) of MOSFET subthreshold currents at the sub-pA level directly and accurately. In this work, we used a charge integration method similar to the operation of the CMOS image sensors (CIS) to characterize the RTN of subthreshold currents approximately from 1 fA to 1 nA, using a test chip of 1M cell array in a 40 nm process. We found that each RTN trap was active only within a specific window of gate voltages. The trap became less active or inactive outside the corresponding window of operations. We showed that the sets of RTN-active devices under different gate voltages were different. Furthermore, the choice of sampling frequency in measuring RTN and the number of sampled data points determined the observable range of RTN emission and capture time constants. For the data measured by sampling periods of 3.82 s, 299 ms, and 372 $\mu {\mathrm{ s}}$ , different sets of RTN traps were observed with different spans of time constants. The combined time constants range was about 7 orders of magnitude. For single-trap RTN, we found and verified a relation between the probability of trap occupancy (PTO) and the ratio of root-mean-square random noise (RN) versus the RTN amplitude.
- Published
- 2021
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