Zhao Haixiang, Sarpeshkar Rahul, Mandal Soumyajit
Dept. of Electrical & Computer Engineering, University of Florida, Gainesville, FL 32611, USA.
Engineering departments of Engineering, Physics, Microbiology&Immunology, and Molecular and Systems Biology, Dartmouth College, Hanover, NH 03755, USA.
IEEE Trans Circuits Syst I Regul Pap. 2023 Jan;70(1):3-16. doi: 10.1109/tcsi.2022.3199561. Epub 2022 Aug 24.
This paper describes an adaptive noise generator circuit suitable for on-chip simulations of stochastic chemical kinetics. The circuit uses amplified BJT white noise and adaptive low-pass filtering to emulate the power spectrum and autocorrelation of random telegraph signals (RTS) with Poisson-distributed level transitions. A current-mode implementation in the AMS 0.35 m BiCMOS process shows excellent agreement with theoretical results from the Gillespie stochastic simulation algorithm over a 60 dB range in mean current levels (modeling molecule count numbers). The circuit has an estimated layout area of 0.032 mm and typically consumes 400 A, which are 73% and 50% less, respectively, than prior implementations. Moreover, it does not require any off-chip capacitors. Experimental results from a discrete board-level implementation of the circuit are in good agreement with theoretical predictions.
本文描述了一种适用于随机化学动力学片上模拟的自适应噪声发生器电路。该电路使用放大的双极结型晶体管白噪声和自适应低通滤波来模拟具有泊松分布电平转换的随机电报信号（RTS）的功率谱和自相关。采用AMS 0.35μm BiCMOS工艺的电流模式实现，在平均电流水平（模拟分子数）的60dB范围内，与吉莱斯皮随机模拟算法的理论结果显示出极好的一致性。该电路的估计版图面积为0.032平方毫米，典型功耗为400μA，分别比先前的实现方式减少了73%和50%。此外，它不需要任何片外电容器。该电路分立板级实现的实验结果与理论预测吻合良好。
