ParkBumjin1
JiYoungwoo2
SimJae-Yoon3
-
(Department of Electronic and Electrical Engineering, Pohang University of Science
and Technology, Pohang 37673, Korea)
-
(Department of Electrical Engineering, Rämistrasse 101, 8092 Zürich, Switzerland)
-
(Department of Electronic and Electrical Engineering, Pohang University of Science
and Technology, Pohang 37673, Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
Temperature sensor, subthreshold, bandgap reference
I. INTRODUCTION
Ultra-low-power (ULP) sensor applications often necessitate a continuous monitoring
of temperature sensor. It is not only to obtain the accurate sensor output by calibrating
the measurement results but also to compensate strong temperature sensitivity of circuit
operation. For a continuous thermal monitoring block to work with a nW-consuming sensor
node, the power consumption needs to be even lower, e.g. in sub-nW level. However,
extreme reduction of the power consumption eventually faces challenges in using analog
circuits which require a nonzero bias current.
On-chip temperature sensing schemes utilize inherent temperature dependence of devices
provided in CMOS technology. Key coefficients of complementary-to-absolute-temperature
(CTAT) and proportional-to-absolute-temperature (PTAT) can be obtained from CMOS compatible
circuits and converted through an analog-to-digital (AD) conversion. Using BJT devices
in temperature sensing references the bandgap voltage (V$_{\mathrm{BG}}$) which shows
superiority in robustness against process variations (1-5). It is because the temperature coefficients of CTAT and PTAT are well-defined by
inherent PN junction characteristic and design parameters, respectively. However,
previous works use a high-precision oversampling ADC that dissipates a significant
power of ${μ}$W range (1-5). As an alternative, the use of a temperature-dependent frequency generation followed
by an edge counting is one of the most popular ways in ULP applications (6-12) since an oscillator circuit can be designed to consume a low power and can be implemented
in a small area. This approach suffers from nonlinear die-to-die variations and necessitates
a 2-point calibration. In addition, the temperature coefficient of the oscillator
frequency is very low and takes a long conversion time for the edge counting. To further
reduce power consumption of the on-chip temperature sensor, a leakage-based temperature-sensing
circuits was combined with a Nyquist-rate asynchronous successive approximation register
(SAR) ADC (13). Though it achieved the lowest power consumption of 490 pW, the minimum temperature
resolution given by the 1-b resolution of the ADC is about 0.6 $^{\circ}$C.
This paper presents a ULP temperature sensor based on a leakage-based reference generator
(14). A reference divider with a switched-capacitor circuit effectively achieves a finer
resolution of SAR ADC. The internal nodes of the reference circuit are directly sampled
to be passed to the ADC. It minimizes the use of analog circuits which necessitate
bias current. The designed temperature sensor is implemented using 180 nm CMOS process.
It achieves a 62.6-pJ/conversion with a resolution of 0.37 $^{\circ}$C. Section II
describes circuits of the proposed temperature sensor, and Section III shows implementation
results. Section IV concludes this work.
Fig. 1. Overall circuit diagram of the proposed temperature sensor (*SMP : SAMPLE).
II. CIRCUIT DESCRIPTION
Fig. 1 shows an overall circuit diagram of the proposed temperature sensor. The sensor consists
of a bias generator part, a regulator part, an asynchronous SAR ADC, a switched-capacitor
(SC) voltage divider and a timing control block with an oscillator. The regulator
is formed with a conventional differential amplifier (Fig. 2). Since the bias current, I$_{\mathrm{B}}$, is in a pA level, a large output resistance
associated at OUT node causes a pole at a low frequency. However, since AVDD is the
supply voltage for ADC, AVDD node is desired to be the dominant pole with a large
power-decoupling capacitance connected at AVDD. We connected an off-chip capacitor
of 50 nF at AVDD node to make it the dominant pole in the regulator loop.
The bias generator is based on the leakage-based hybrid V$_{\mathrm{BG}}$-V$_{\mathrm{TH}}$
voltage reference (14) which provides a PTAT (V$_{\mathrm{PTAT}}$), a CTAT (V$_{\mathrm{CTAT}}$) and a reference
voltage (V$_{\mathrm{REF}}$). The V$_{\mathrm{REF}}$ is divided by half using SC voltage
divider. The reduced supply voltage by the SC voltage divider decreases the input
conversion range of ADC and effectively achieves a finer temperature resolution. With
the 180 nm CMOS process used in this work, the V$_{\mathrm{REF}}$ and the AVDD is
about 0.8 V and 0.4 V, respectively. A static voltage divider using resistors should
flow a nonzero static current.
Fig. 2. Amplifier circuit in the regulator and DC characteristics.
Fig. 3. (a) SC voltage divider circuit, (b) simulated transients.
The SC voltage divider is formed with three capacitors (Fig. 3(a)). They are two identical capacitors (C$_{1}$) of 2.5~pF and a larger storage capacitor
(C$_{2}$) of 10 pF. The voltage division is performed using two phases, a receiving
phase (${Φ}$$_{1}$) and a transferring phase (${Φ}$$_{2}$). In ${Φ}$$_{1}$, the two
identical capacitors (C$_{1}$) are connected in series to sample V$_{\mathrm{REF}}$
while C$_{2}$ is disconnected. In ${Φ}$$_{2}$, all the three capacitors are connected
in parallel while V$_{\mathrm{REF}}$ is disconnected. Repetition of switching eventually
makes C$_{2}$ hold V$_{\mathrm{REF}}$/2. Simulated transients of V$_{\mathrm{HF}}$
and V$_{\mathrm{DIV}}$ are shown in Fig. 3(b). In the steady state, the voltage stored at all the three capacitors approaches V$_{\mathrm{REF}}$/2,
and there would be no charge transferring among the capacitors. Since the leakage
current (I$_{\mathrm{leak}}$) through off-state switch (Fig. 3(a)) has a strong temperature dependency, the V$_{\mathrm{HF}}$ at high temperature significantly
decays by the leakage. We adopted a switch in (15) which minimizes the effect of leakage current.
In addition, frequency for the switching needs to be designed so that the leakage
current can be compensated to maintain V$_{\mathrm{REF}}$/2. We employed a leakage-based
oscillator as the clock generator (Fig. 4). Designed parameters are summarized in Table 1. Bold characters indicate thick MOSFET. A capacitor of 30 pF is used for C$_{\mathrm{OSC}}$.
III. MEASUREMENT RESULTS
The proposed temperature sensor is implemented using a standard 180 nm CMOS process.
Fig. 5 shows chip microphotograph. The active die area is 0.128 mm$^{2}$. 37 chips are tested
in a temperature range of -30~100 $^{\circ}$C. Fig. 6 shows measurements of the internally generated voltages which are V$_{\mathrm{REF}}$,
V$_{\mathrm{CTAT}}$ and AVDD. The V$_{\mathrm{PTAT}}$ is calculated by V$_{\mathrm{REF}}$-V$_{\mathrm{CTAT}}$.
The V$_{\mathrm{REF}}$ and AVDD are about 0.8 V and 0.4 V, respectively, showing a
good agreement with designed levels. Fig. 7 shows digital codes measured from 37 samples. The dynamic range of the temperature-dependent
voltage is about 150 mV (see Fig. 6) which corresponds to about 35% of AVDD. Thus, the range of the output code is also
about 35% (from 250 to 600) of the total 10-b code range.
Fig. 4. Circuit diagram of oscillator.
Table 1. Design parameters.
Component
|
Parameters
|
Width (μm)
|
Length (μm)
|
Multiplier
|
M$_{\mathrm{N1}}$
|
0.42
|
1.2
|
1
|
M$_{1}$
|
20
|
1
|
7
|
M$_{2}$
|
1
|
1
|
1
|
M$_{\mathbf{PASS}}$
|
0.5
|
0.85
|
1
|
M$_{\mathbf{P}}$
|
5
|
5
|
5*
|
M$_{\mathbf{N}}$
|
4
|
10
|
5*
|
M$_{\mathbf{B}}$
|
1
|
1
|
12*
|
M$_{\mathbf{O}}$
|
20
|
1
|
21
|
M$_{\mathbf{DIS}}$
|
1
|
0.35
|
3*
|
Q$_{1}$
|
2
|
2
|
2
|
* The number of stacks
Fig. 5. Chip microphotograph.
Fig. 6. Measured internal voltages of bias generator. The V$_{\mathrm{PTAT}}$ is calculated
by subtracting V$_{\mathrm{CTAT}}$ from V$_{\mathrm{REF}}$.
Fig. 7. Measured digital code output.
Fig. 8. Error temperature after a 1-point calibration at 40 $^{\circ}$C calculated
with the measured bias voltages and an ideal ADC.
Fig. 9. Measured error temperature after a 1-point calibration at 40 $^{\circ}$C.
To exclude imperfections of ADC operation in temperature sensing, error temperatures
are calculated from the measured bias voltages (Fig. 6). An ideal ADC is modeled by MATLAB for the calculation. We compared the calculated
error with the measured error using the implemented ADC. Fig. 8 and 9 show the calculated and the measured error temperature after a 1-point calibration
at 40 $^{\circ}$C, respectively. The two figures indicate an overall good agreement
with an increased error of about 1-LSB by ADC nonlinearity. The ADC simulation shows
an input-referred comparator noise of about 550 ${μ}$Vrms which corresponds to 1.37-LSB
of the ADC with an AVDD of 0.4 V. The capacitor DACs were implemented by a MIM structure
with the unit C of 5 fF, indicating a 12-b level matching according to given 0.18~${μ}$m
CMOS process documents. Therefore, the inaccuracy of temperature sensing is rather
limited by the temperature dependences of the bias voltages than by the linearity
performance of ADC.
Fig. 10. Measured error temperature after a 2-point calibration at -10 $^{\circ}$C
and 80 $^{\circ}$C.
Fig. 11. Measured oscillator frequency from 37 samples over a temperature range of
-30-to-100 $^{\circ}$C.
Fig. 12. Measured RMS resolution (1-${\upsigma}$) after 500 sensor readings from each
of 37 samples.
Fig. 13. Measured supply sensitivities when the supply voltage varies from 1 V to
2.2 V.
Fig. 14. Average power consumption of each core block and the energy/conversion.
A 2-point calibration at -10 $^{\circ}$C and 80 $^{\circ}$C reduces the peak-to-peak
inaccuracy from -3.43 $^{\circ}$C/+2.77 $^{\circ}$C to -1.63~$^{\circ}$C/+1.63~$^{\circ}$C
(Fig. 10). Fig. 11 shows measured frequency of the oscillator. The strong dependence of the oscillator
frequency helps suppression of the effect of leakage current on the operation of the
SC voltage divider. Fig. 12 shows the RMS resolutions (16) of 500 cases. The RMS resolution refers to the standard deviation of the converted
temperature when the test temperature is fixed. The RMS resolution for the whole temperature
range is less than 1-LSB, also revealing that the resolution of the sensor is rather
limited by the quantized 1-b temperature resolution of 0.37 $^{\circ}$C. Fig. 13 shows measured supply sensitivity at 20 $^{\circ}$C, showing 0.61 $^{\circ}$C/V in
a supply range of 1 V-to-2.2 V. By placing a stacked native NMOS transistors at the
header of the bias generator, the effect of supply variation is greatly suppressed.
Fig. 14 summarizes average power consumption and energy/conversion. The average power consumption
at 20~$^{\circ}$C is 487 pW, indicating an energy/conversion of 62.6 pJ. The energy/conversion
in the whole temperature range varies from 60 pJ to 110 pJ. Table 2 compares performance with previously reported low-power temperature sensors.
Table 2. Performance comparison
|
This work
|
[13]
|
[1]
|
[2]
|
[6]
|
[7]
|
[8]
|
Process (nm)
|
180
|
180
|
180
|
180
|
65
|
180
|
180
|
Supply Voltage (V)
|
1.2
|
1
|
1.6~2.2
|
1
|
0.5, 0.9~1.2+
|
0.8
|
0.6~1.2
|
Type
|
PNP & MOS
|
NPN & MOS
|
NPN
|
PNP
|
MOS
(Gate Leak.)
|
MOS
|
MOS
|
Digital Conversion
|
SAR
|
SAR
|
ΣΔ
|
ΣΔ
|
FDC
|
FDC
|
FDC
|
Supply Sensitivity (°C/V)
|
0.61
|
1.073
|
0.0082
|
N/A
|
N/A
|
3.8
|
1.9
|
Power (nW)
|
0.487
|
0.49
|
8960
|
720
|
0.64
|
11
|
3.92
|
Conversion Time (ms)
|
128.6
|
200
|
213
|
40
|
34.3
|
839
|
300
|
Energy/Conversion (nJ)
|
0.0626
|
0.098
|
1908.5
|
28.8
|
0.022
|
9.2
|
1.2
|
Temperature Range (°C)
|
-30~100
|
-10~100
|
-40~125
|
0~100
|
-20~100
|
-20~80
|
0~100
|
Resolution (K)
|
0.37
|
0.59
|
0.00167
|
0.04
|
0.25
|
0.145
|
0.55
|
Calibration
|
1-point
|
2-point
|
1-point
|
1-point
|
1-point
|
2-point
|
2-point
|
2-point
|
Inaccuracy (°C)
|
-3.43/2.77*
(37 smps)
|
±1.63*
(37 smps)
|
±2.35*
(15 smps)
|
±0.13**
(16 smps)
|
±0.18**
(15 smps)
|
-2.7/1.8*
(7 smps)
|
-0.9/1.2*
(9 smps)
|
-1.64/0.67*
(3 smps)
|
Area (mm$^{2}$)
|
0.1278
|
0.12
|
0.35
|
0.18
|
0.013
|
0.074
|
0.007
|
FoM$_1$ (pJK$^{2}$)#
|
8.57
|
34.1
|
5.32
|
46.08
|
1.4
|
193.4
|
363
|
FoM$_2$ (nJ°C$^{2}$)##
|
0.74
|
0.17
|
0.54
|
32.25
|
0.93
|
0.16
|
13.25
|
3.23
|
+ : two supply voltages
* : peak-to-peak inaccuracy
** : 3σ inaccuracy
# : FoM$_{1}$ = energy/conversion ${\times}$ (resolution)$^{2}$
## FoM$_{2}$ = energy/conversion ${\times}$ (max inaccuracy)$^{2}$
IV. CONCLUSIONS
This work proposes a leakage-based temperature sensor with a SC voltage divider. The
temperature sensor consists of a temperature sensing part and an asynchronous SAR
ADC. The SC voltage divider performs a division of V$_{\mathrm{REF}}$ by half to provide
supply voltage for ADC. It effectively achieves a finer temperature resolution with
given ADC. The proposed temperature sensor chip is fabricated in an active area of
0.1278 mm$^{2}$ using 180 nm CMOS technology. The implemented sensor consumes 487
pW with an energy/conversion of 62.6 pJ. The proposed work minimally dissipates standby
power for analog circuits and is promising for ULP sensor applications which necessitate
continuous thermal monitoring.
REFERENCES
Kumar Rushil K., Nov 2019, An Energy-Efficient BJT-Based Temperature-to-Digital Converter
with ±0.13ºC (3σ) Inaccuracy from -40 to 125ºC, IEEE ASSCC, pp. 107-108
Zhan Tan-Tan, Apr 2018, Nano-Watt Class Energy-Efficient Capacitive Sensor Interface
With On-Chip Temperature Drift Compensation, IEEE Sensors Journal, Vol. 18, No. 7,
pp. 2870-2882
Tang Zhong, Nov 2018, A CMOS Temperature Sensor With Versatile Readout Scheme and
High Accuracy for Multi-Sensor Systems, IEEE Trans. Circuits Syst. I, Vol. 65, No.
11, pp. 3821-3829
Yousefzadeh B., Jun 2016, A BJT-based Temperature-to-Digital Converter with ±60mK
(3σ) Inaccuracy from -70ºC to 125ºC in 160nm CMOS, IEEE Symp. VLSI Circuits
Oshita Takao, Mar 2015, Compact BJT-Based Thermal Sensor for Processor Applications
in a 14nm tri-Gate CMOS Process, IEEE JSSC, Vol. 50, No. 3, pp. 799-807
Truesdell Daniel S., Apr 2019, A 640pW 22pJ/Sample Gate Leakage-Based Digital CMOS
Temperature Sensor with 0.25ºC Resolution, CICC, pp. 1-4
Someya Teruki, Mar 2019, An 11-nW CMOS Temperature-to-Digital Converter Utilizing
Sub-Threshold Current at Sub-Thermal Drain Voltage, IEEE JSSC, Vol. 54, No. 2, pp.
613-622
Ku Chia-Yuan, Oct 2019, A Voltage-Scalable Low-Power All-Digital Temperature Sensor
for On-Chip Thermal Monitoring, IEEE Trans. Circuits Syst. II, Vol. 66, No. 10, pp.
1658-1662
Y. K., Feb 2017, A 0.6nJ -0.22/0.19ºC Inaccuracy Temperature Sensor Using Exponential
Subthreshold Oscillation Dependence, IEEE ISSCC, pp. 160-162
Anand Tejasvi, Jun 2015, A Self-referenced VCO-based Temperature Sensor with 0.034ºC/mV
Supply Sensitivity in 65nm CMOS, IEEE Symp. VLSI Circuits
Islam A. K. M. Mahfuzul, Nov 2015, Wide-Supply-Range All-Digital Leakage Variation
Sensor for On-Chip Process and Temperature Monitoring, IEEE JSSC, Vol. 50, No. 11,
pp. 2475-2490
Jeong Seokhyeon, Aug 2014, A Fully-Integrated 71nW CMOS Temperature Sensor for Low
Power Wireless Sensor Nodes, IEEE Journal of Solid-State Circuits, Vol. 49, No. 8,
pp. 1682-1693
Tang Zhong, Nov 2018, A CMOS Temperature Sensor With Versatile Readout Scheme and
High Accuracy for Multi-Sensor Systems, IEEE Trans. Circuits Syst. I, Vol. 65, No.
11, pp. 3821-3829
Ji Youngwoo, Feb 2019, A 192pW Hybrid Bandgap-Vth Reference with Process Dependence
Compensated by a Dimension-Induced Side-Effect, in IEEE Int. Solid-State Circuits
Conf. (ISSCC), pp. 308-310
Ishida K., Arl 2006, Managing Subthreshold Leakage in Charge-Based Analog Circuits
With Low-VTH Transistors by Analog T- Switch (AT-Switch) and Super Cut-off CMOS (SCCMOS),
IEEE JSSC, Vol. 41, No. 4, pp. 859-867
Makinwa K.A.A., Delft Tu, Smart Temperature Sensor Survey, Rev. 04022020, Arl. 2020.
Accessed on Dec. 24, 2020. https://ei.tudelft.nl/smart_temperature/
Author
Bumjin Park received the B.S. and M.S. degrees in Electronic and Electrical Engineering
from Pohang University of Science and Technology, South Korea, in 2014, and 2016,
respectively.
He is currently pursuing the Ph.D. degree in the Department of Electronic and Electrical
Engineering from Pohang University of Science and Technology (POSTECH), Korea.
His interests include and ultra-low-power sensor interface circuits
Youngwoo Ji received the B.S. and Ph.D. degrees in electronic and electrical engineering
from the Pohang University of Science and Technology (POSTECH), Pohang, South Korea,
in 2013 and 2020, respectively.
He is currently a Post-Doctoral Researcher with the Integrated Systems Laboratory,
ETH Zürich, Zürich, Switzerland.
His research interests include subthreshold circuit designs, sensor interface circuits,
and data converters.
Jae-Yoon Sim received the B.S., M.S., and Ph.D. degrees in electronic and electrical
engineering from the Pohang University of Science and Technology (POSTECH), South
Korea, in 1993, 1995, and 1999, respectively.,
From 1999 to 2005, he was a Senior Engineer with Samsung Electronics, South Korea.
From 2003 to 2005, he was a Postdoctoral Researcher with the University of Southern
California, Los Angeles.
From 2011 to 2012, he was a Visiting Scholar with the University of Michigan, Ann
Arbor.
In 2005, he joined the Department of Electrical Engineering, POSTECH, where he is
currently a Professor.
His research interests include serial and parallel links, PLLs, data converters, ultra-low-power
sensor circuits, and power module for plasma generation.
Dr. Sim received the Special Author-Recognition Award at ISSCC 2013 and was a co-recipient
of the Takuo Sugano Award at ISSCC 2001.
He has served on the Technical Program Committee of the IEEE International Solid-State
Circuits Conference (ISSCC), the Symposium on VLSI Circuits, and the Asian Solid-State
Circuits Conference (ASSCC).