A 10.5 ppm/C Modified Sub-1 V Bandgap in 28 nm CMOS Technology with Only Two Operating Points

ELECTRONICS(2024)

引用 0|浏览1
暂无评分
摘要
Reference voltage/current generation is essential to the Analog circuit design. There have been several ways to generate quality reference voltage using bandgap reference (BGR) and there are mainly two types: current mode and voltage mode. The current-mode bandgap reference (CBGR) is widely accepted in industry due to having an output voltage which is below 1 V. However, its drawbacks include a lack of proportional to absolute temperature (PTAT) current availability, a large silicon area, multiple operating points, and a large temperature coefficient (TC). In this paper, various operating points are explained in detail with diagrams. Similar to the conventional voltage mode bandgap reference (VBGR) circuits, modifications of the existing circuits with only two operating points have also been proposed. Moreover, the proposed BGR occupies a much smaller area due to eliminating the complimentary to absolute temperature (CTAT) current-generating resistor. A new self-biased opamp was introduced to operate from a 1.05 V supply, reducing systematic offset and TC of the BGR. The proposed solution has been implemented in 28 nm CMOS TSMC technology, and extraction simulations were performed to prove the robustness of the proposed circuit. The targeted mean BGR output is 500 mV, and across the industrial temperature range (-40 to 125 degrees C), the simulated TC is approximately 10.5 ppm/degrees C. The integrated output noise within the observable frequency band is 19.6 mu V (rms). A 200-point Monte Carlo simulation displays a histogram with a 2.6 mV accuracy of 1.2% (+/- 3-sigma). The proposed BGR circuit consumes 32.8 mu W of power from a 1.05 V supply in a fast process and hot (125 degrees C) corner. It occupies a silicon area of 81 x 42 mu m (including capacitors). This design can aim for use in biomedical and sensor applications.
更多
查看译文
关键词
bandgap reference,noise,operating points,self-bias,offset phase margin
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要