ParkTae-June1
BooJun-Ho2
LimJae-Geun1
KimHyoung-Jung1
LeeJae-Hyuk1
ParkSeong-Bo1
ChoWon-Jun3
AhnGil-Cho1
-
(Department of Electronic Engineering, Sogang University, Seoul 04107, Korea)
-
(Division of Semiconductor and Electronics Engineering, Hankuk University of Foreign
Studies, Yongin 17035, Korea)
-
(Samsung Electronics Company, Limited, Hwaseong 18448, Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
BJT, β-compensation technique, bitstream-controlled dynamic element matching (DEM), systemlevel low-frequency chopping (CHL), temperature sensor
I. INTRODUCTION
Temperature sensors used in harsh environments, such as geothermal power plants [1] and automotive applications [2], should operate reliably over an extended temperature range, reaching up to $+150^\circ$C,
exceeding the military temperature range of $+125^\circ$C commonly supported by typical
temperature sensors [3,4]. In such high-temperature environments, discrete sensors like thermistors and platinum
resistors have traditionally been preferred due to their reliable resistance-temperature
(R/T) characteristics and consistent performance [5]. Despite these advantages, discrete sensors have limitations, such as size, power
consumption, and interoperability issues with other electronic devices. CMOS integrated
temperature sensors, using MOSFETs, resistors, or BJTs, enable the integration of
temperature sensing, digital value conversion, and interfacing on a single chip, which
helps to mitigate the limitations of discrete sensors [6,7,8,9,10]. Even so, MOSFET-based and resistor-based sensors suffer from high sensitivity to
process variations and often require two-point trimming to achieve acceptable accuracy
which increases production costs [9,11]. In contrast, BJT-based sensors utilize the predictable temperature dependence of
the base-emitter voltages (${V}_{\rm BE}$s) to offer a wide temperature range with
high accuracy and reduced sensitivity to process variations, requiring only one-point
trimming [12,13]. However, at high temperatures, the leakage current of CMOS components increases
significantly, which can lead to temperature sensing errors and impose limitations
on the operating range of temperature sensors [12].
This paper proposes a BJT-based CMOS temperature sensor that achieves an inaccuracy
of $\pm0.94^\circ$C ($3 \sigma$) after one-point trimming over an extended temperature
range from $-40^\circ$C to $+150^\circ$C. To enhance the accuracy of temperature sensing,
$\beta$-compensation technique and bitstream-controlled dynamic element matching (DEM)
are applied to the sensing frontend. To reduce the number of required sampling switches,
only two sampling capacitors are employed in the first integrator of the readout circuit
[13]. This design choice alleviates the impact of sampling switch leakage currents, which
worsen at high temperatures.
The rest of this paper is organized as follows: Section II explains the operating
principle of the temperature sensor. The implementation of the proposed sensor is
described in Section III. Section IV presents the measurement results and Section
V concludes this paper.
II. OPERATING PRINCIPLE OF BJT-BASED TEMPERATURE SENSOR
Fig. 1 illustrates the basic operation of a temperature sensor utilizing PNP transistors.
The $Q_{0}$ and $Q_{1}$ produce $V_{\rm BE}$${}_{0}$ and $V_{\rm BE1}$, respectively,
which exhibit complementary-to-absolute-temperature (CTAT) [14], that can be expressed as
where ${k}$ is Boltzmann's constant, ${T}$ is the absolute temperature, ${q}$ is the
electron charge, ${I}_{\rm S}$ is the transistor's saturation current, $\beta$ is
the forward current gain, ${I}_{\rm BIAS}$ is bias current of PNP transistor, and
$p$ is bias current ratio. The resulting voltage difference between the two PNP transistors
is proportional-to-absolute-temperature (PTAT) [14], given by
with an assumption of sufficiently large values of $\beta$. In Eq. (3), if ${I}_{\rm BIAS} \gg I_{\rm S}$, $\Delta {V}_{\rm BE}$ exhibits linear behavior
with respect to temperature [12]. Additionally, it indicates that $\Delta V_{\rm BE}$ only depends on the current
ratio ${p}$, making it insensitive to process spread. Fig. 2 shows the temperature dependency of voltages for temperature sensing. The temperature-independent
${V}_{\rm REF}$ is obtained by adding ${V}_{\rm BE1}$ and $\alpha \cdot \Delta V_{\rm
BE}$, where $\alpha$ is the gain coefficient [3]. The readout circuit digitizes the ratio of $\alpha \cdot \Delta V _{\rm BE}$ and
${V}_{\rm REF}$ to obtain PTAT output $\mu$, as shown below:
This PTAT output is converted to a Celsius value through scaling with batch calibration,
as follows:
where ${D}_{out}$ is Celsius value of sensed temperature, and ${A}$ and ${B}$ are
calibration parameters. This readout method [3] is not flexible because it digitizes $\mu$ using the coefficient $\alpha$ fixed on-chip.
In contrast, as shown in Fig. 3, this paper employs a readout method using gain coefficient $\alpha$* determined
off-chip through batch calibration for flexibility [10]. To apply this method, the readout circuit digitizes the ratio $Y = {k}\cdot \Delta
V_{\rm BE} / V_{\rm BE1}$ instead of directly digitizing the $\mu$, where $\Delta
V_{\rm BE}$ serves as the input signal, ${V}_{\rm BE1}$ as the reference signal, and
${k}$ is a gain factor. As shown in Fig.~4, the gain factor ${k}$ is applied to enhance
the utilization of the dynamic range [4]. In this paper, ${k}$ is implemented as 4 using a switched-capacitor circuit, considering
both the dynamic range and design complexity. Although this ratio $Y$ is not linear
with respect to temperature, the linear PTAT output $\mu ^{*}$ can be obtained off-chip
using the $Y$ [13] and is given by
where $\alpha^*$ is the batch calibration parameter.
Fig. 1. Basic operation of a PNP transistor-based temperature sensor.
Fig. 2. Temperature dependency of voltages for temperature sensing.
Fig. 3. Readout method of the proposed temperature sensor using off-chip gain coefficient.
Fig. 4. Simulation results of digitized ratio w/ and w/o gain factor.
III. IMPLEMENTATION
As shown in Fig. 5, the proposed temperature sensor consists of three main parts: a sensing frontend,
a readout circuit, and a digital controller. The sensing frontend employs BJTs to
generate ${V}_{\rm BE0}$ and ${V}_{\rm BE1}$. These signals are
processed by the readout circuit, utilizing the 1-bit second-order incremental delta-sigma
analog-to-digital converter ($\Delta \Sigma$ ADC) to produce digital values for temperature
reading. The digital controller provides control signals and clocks required for overall
operation.
To achieve the accuracy requirements of the temperature sensor with only a single
PTAT trimming at room temperature (RT), error sources that contribute to non-PTAT
errors should be mitigated [3]. Therefore, errors caused by device mismatches and finite $\beta$ should be mitigated
to make the PTAT error due to process spread in ${V}_{\rm BE}$ the dominant error
source [15].
Fig. 5. Block diagram of the proposed temperature sensor.
1. Sensing Frontend
1) Circuit overview: Fig. 6 shows the circuit diagram of the sensing frontend, which consists of the biasing
circuit and the bipolar core. The PTAT bias current is generated by the feedback loop
which includes an error amplifier, current sources, polysilicon resistors, and PNP
transistors. The biasing circuit forces the difference between $V_{\rm BE}$s ($\Delta$$V_{\rm
BE}$) of the $Q_{\rm BIAS0}$ and $Q_{\rm BIAS1}$ across the resistors ($R_{\rm BIAS0}$
or $R_{\rm BIAS1}$) to generate a PTAT I${}_{\rm BIAS}$. The generated current is
mirrored through the current sources to bias $Q_{0}$ and $Q_{1}$, generating $V_{\rm
BE0}$ and $V_{\rm BE1}$ in the bipolar core [3].
2) Error reduction design techniques: If $\beta$ is sufficiently large such that $\beta
/(\beta+1)$ effectively equals 1, the influence of $\beta$ spread in Eqs. (1) and (2) can be neglected. However, in the process used, the $\beta$ of the PNP transistor
is approximately 3.5, causing $V_{\rm BE}$ to exhibit a non-PTAT error resulting from
the $\beta$ spread [16]. Therefore, a $\beta$-compensation technique is employed to generate the $I_{\rm
BIAS}$ proportional to $(\beta+1)/\beta$ [16]. Assume that the $\beta$ of all four PNP transistors are the same. The $I_{\rm BIAS}$
with the $\beta$-compensation technique can be expressed as
Substituting $I_{\rm BIAS}$ from Eqs. (7) into (1) and (2) yields
This technique makes the $V_{\rm BE}$s of the $Q_{0}$ and $Q_{1}$ independent of $\beta$
by canceling out $\beta/(\beta+1)$ in Eqs. (1) and (2). The accuracy of the $\beta$-compensation technique can be degraded by the $\beta$
mismatch of the four PNP transistors ($Q_{\rm BIAS0}$, $Q_{\rm BIAS1}$, $Q_{0}$, and
$Q_{1}$) [17]. To mitigate the mismatch of the $\beta$ without quantization noise folding, bitstream-controlled
DEM is employed [11,15]. However, at high temperatures, $I_{\rm S}$, which is proportional to the emitter
area, increases exponentially with temperature [12], resulting in significant nonlinearity in both $V_{\rm BE}$ and $\Delta$$V_{\rm BE}$
[10]. Therefore, the PNP transistors in the sensing frontend are designed with consideration
for matching requirements and the impact of $I_{\rm S}$ at high temperatures.
3) Implementation: The biasing circuit and the bipolar core each use a pair of 2 $\mu$m
$\times$ 2 $\mu$m PNP transistors: $Q_{\rm BIAS0}$ and $Q_{\rm BIAS1}$, and $Q_{0}$
and $Q_{1}$, respectively. Total 12 unit current sources are employed to bias the
$Q_{\rm BIAS0}$, $Q_{\rm BIAS1}$ pair and the $Q_{0}$, $Q_{1}$ pair at the 1:5 ratio
with DEM switches to average the unit bias current $I_{\rm BIAS}$. The $I_{\rm BIAS}$
value is set to 300 nA (at $27^\circ$C) with $R_{\rm BIAS0} = R_{\rm BIAS1} = 175$
k$\Omega$, considering the power consumption and the settling requirement of the sampling
capacitor in the readout circuit. A conventional folded-cascode topology with a dc
gain of over 84 dB across the operating temperature range is used for the error amplifier
${A}_{\rm E}$ in the biasing circuit. As the offset and $1/{f}$ noise of the ${A}_{\rm
E}$ cause non-PTAT errors, chopping is employed to mitigate them [11].
$\beta$-compensation technique is implemented by adding resistors ${R}_{\beta0}$ ($=
R_{\rm BIAS0}/5$) and ${R}_{\beta1}$ ($= R_{\rm BIAS1}/5$) in series with the bases
of $Q_{\rm BIAS0}$ and $Q_{\rm BIAS1}$ in the biasing circuit, respectively. To enable
swapping between $Q_{\rm BIAS0}$ and $Q_{\rm BIAS1}$ in the biasing circuit, the $R_{\rm
BIAS0}$, ${\mathrm{R}}_{\beta0}$ pair and the $R_{\rm BIAS1}$, ${R}_{\beta1}$ pair
are connected, respectively. Similarly, in the bipolar core, DEM logic swaps $Q_{0}$
and $Q_{1}$ by exchanging the current ratio.
Fig. 6. Circuit diagram of the sensing frontend.
2. Readout Circuit
1) Architecture: At high temperatures, the leakage current of the sampling switches
increases. Fig. 7 shows the simplified sampling network and associated leakage paths. $I_{leak1}$ is
caused by reverse diodes in the on-state switch, while $I_{leak2}$ and $I_{leak3}$
are due to the off resistance of the off-state switches [13]. These leakages not only distort the bias current in the bipolar core transistors
but also introduce errors in the charge sampled onto the sampling capacitors. Since
both on-state and off-state switches induce leakage paths, these effects are proportional
to the total number of switches in the sampling network [12,13]. Unlike the two architectures presented in [3] and [18], this paper employs a readout circuit with only two differential sampling capacitors,
as in [13]. This approach significantly reduces the total number of required switches to six,
compared to the zoom ADC architecture in [18], which relies on hundreds of sampling and DEM switches. Consequently, both the reduced
number of sampling switches and the absence of DEM switches in the capacitor array
mitigate the impact of switch leakage currents in the sampling network at high temperatures.
A required ADC resolution to achieve a temperature sensing resolution of less than
$0.025^\circ$C can be calculated by the following equation [10]:
where the ${S}$ is target sensing resolution, $Y$ ($= 4 \cdot \Delta V_{\rm BE}/V_{\rm
BE1}$) is the digitized ratio, and $\mu^{*}$ is the linear PTAT output. Based on the
simulation results, the required ADC resolution is determined to be 15.5-bit.
2) Charge-Balancing: Figs. 8 and 9 illustrate a circuit diagram of the readout circuit
and its simplified timing diagram. Detailed charge-balancing process for digitizing
the ${Y} = 4 \cdot \Delta V_{\rm BE}/V_{\rm BE1}$ is as follows: At each $\Phi_{\Delta
\Sigma }$ period, the first integrator samples either $V_{\rm BE0}$ or $\Delta V_{\rm
BE}$ during four clock phases $\Phi_{1}$ and $\Phi_{2}$, with the total sampled charge
varying depending on the ${bs}$. When ${bs} = 0$, $\Delta V_{\rm BE}$ is sampled four
times, integrating a charge proportional to $4 \cdot \Delta V_{\rm BE}$. While, when
${bs} = 1$, $\Delta V_{\rm BE}$ is sampled three times and $- V_{\rm BE0}$ is sampled
once, resulting in a charge proportional to $3 \cdot \Delta V_{\rm BE} - V_{\rm BE0}$.
Due to the ADC's feedback, the average integrated charge is zero, and with the average
of ${bs}$ defined as $Y$, this charge-balancing scheme satisfies the following equation
[3]:
As $3 \cdot \Delta V_{\rm BE} - V_{\rm BE0}$ is equivalent to $4 \cdot \Delta V_{\rm
BE} - V_{\rm BE1}$, Eq. (11) can be calculated as shown in the following equations [19]:
As a result, through Eqs. (11) to (13), this scheme generates the previously mentioned ratio $Y$.
3) Implementation: The circuit diagram of the readout circuit is illustrated in Fig. 8. Only two differential sampling capacitors are employed to sample $V_{\rm BE0}$,
$V_{\rm BE1}$, and gnd using six sampling switches. Additionally, to reduce leakage
current in the off-state, the switches connected to gnd are implemented using high-threshold
voltage devices. The size of the C${}_{S1}$ is set to 2.5 pF, considering the ${kT}/{C}$
noise, while C${}_{S2}$, C${}_{A}$, and C${}_{FF}$ are set to 200 fF, given the relaxed
conditions due to noise shaping [16,20]. $A_{1}$ and $A_{2}$ employ folded-cascode OTAs, providing a dc gain of over 97 dB
across the operating temperature range. Correlated-double sampling is used to reduce
offset and $1/{f}$ noise of the first integrator [21]. System-level low-frequency chopping (CHL) is further applied to address residual
offset [19]. The CHL is implemented digitally, eliminating the need for additional switches.
Simplified timing diagram is shown in Fig. 9. The first integrator operates with non-overlapping clocks, $\Phi_{1}$ and $\Phi_{2}$,
while the second integrator and the switched capacitor adder operate at half the frequency
of the first integrator, using duty-cycle-adjusted non-overlapping clocks, $\Phi_{3}$
and $\Phi_{4}$. The first integrator samples outputs of the sensing frontend ($V_{\rm
BE0}$ and $V_{\rm BE1}$) or gnd during four clock phases $\Phi_{1}$ and $\Phi_{2}$,
based on the value of ${bs}$. During the fourth phase, the first integrator's output
is sampled onto $C_{\rm S2}$ of the second integrator during $\Phi_{4}$ phase and
subsequently integrated during the following $\Phi_{3}$ phase. The ${bs}$ is generated
by the single-bit quantizer with $\Phi_{\Delta \Sigma}$. Oversampling ratio (OSR)
of 512 is employed to achieve the required ADC resolution [22].
Fig. 7. Simplified sampling network and associated leakage paths.
Fig. 8. Circuit diagram of the readout circuit.
Fig. 9. Timing diagram of the readout circuit.
IV. MEASUREMENT RESULTS
The temperature sensor is implemented in a 0.18-$\mu$m CMOS process. The die micrograph
is shown in Fig. 10 with an area of 0.63 mm${}^{2}$. The sinc${}^{2}$ decimation filter and the batch
calibration were implemented off-chip for flexibility. This sensor draws 12.35 $\mu$A
from a 1.8 V supply with a conversion time of 20 ms. At $27^\circ$C, 100 consecutive
temperature readings are taken to measure the resolution, as shown in Fig. 11. This sensor achieves a resolution of 6.9 mK under 20 ms conversion time at RT, resulting
in a resolution figure of merit (FoM) of 21.17 pJ$\cdot$K${}^{2}$.
To measure the inaccuracy of the temperature sensor, six samples are tested across
the temperature range from $-40^\circ$C to $+150^\circ$C in the temperature chamber.
One-point trimming is implemented off-chip by applying a trimming coefficient $\Delta
\alpha$, which sets the temperature error to zero at the trimming temperature (RT),
as shown in the following equation [19]:
Fig. 12 shows the measured inaccuracy without applying bitstream-controlled DEM after batch
calibration. The sensor exhibits an inaccuracy of ${\pm} 4.44 ^\circ$C ($3 \sigma$)
before trimming, which is reduced to ${\pm} 4.30 ^\circ $C ($3 \sigma$) after one-point
trimming. The absence of bitstream-controlled DEM substantially increases the temperature
error over the operating temperature range, due to the mismatch among the PNP transistors
and current sources. Moreover, since this temperature error is not the PTAT error,
it cannot be effectively compensated by one-point trimming [3]. With bitstream-controlled DEM, the measured inaccuracy of the proposed temperature
sensor is improved to $\pm 1.14^\circ$C ($3 \sigma$) before trimming and $\pm 0.94^\circ$C
($3 \sigma$) after one-point trimming as shown in Fig. 13. Table 1 provides a summary of the measured performance of this temperature sensor and a comparison
with other temperature sensors.
Fig. 11. Measured temperature resolution at $27^\circ$C.
Fig. 12. Measured inaccuracy without applying bitstream-controlled DEM (a) before
trimming and (b) after one-point trimming.
Fig. 13. Measured inaccuracy with applying bitstream-controlled DEM (a) before trimming
and (b) after one-point trimming.
Table 1. Performance summary and comparison table.
V. CONCLUSIONS
This paper presents a BJT-based CMOS temperature sensor with an extended temperature
range from $-40 ^\circ$C to $+150^\circ$C. To reduce the non-PTAT error caused by
mismatch of $\beta$ and current sources in the sensing frontend, $\beta$-compensation
and bitstream-controlled DEM are employed. In the readout circuit, only two sampling
capacitors and digital CHL are implemented to reduce the number of switches, mitigating
the impact of switch leakage current at high temperatures. Fabricated in a 0.18-$\mu$m
CMOS process, the proposed sensor occupies an area of 0.63 mm$^2$ and consumes 22.23
$\mu$W from a 1.8 V supply at 27$^\circ$C. It achieves a resolution FoM of 21.17 pJ$\cdot$K${}^{2}$
and an inaccuracy of $\pm 0.94^\circ$C ($3 \sigma$) after one-point trimming, with
a conversion time of 20 ms.
ACKNOWLEDGMENTS
This work was partly supported by the Institute of Information & Communications
Technology Planning & Evaluation(IITP)-ITRC(Information Technology Research Center)
grant funded by the Korea government(MSIT)(IITP-2025-RS-2023-00260091, 50%) and partly
by Korea Institute for Advancement of Technology(KIAT) grant funded by the Korea Government(MOTIE)
(P0017011, HRD Program for Industrial Innovation, 50%). The EDA tool was supported
by the IC Design Education Center (IDEC), Korea and the chip fabrication was supported
by the LX Semicon Co., Ltd.
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Tae-June Park received his B.S. degree in electronic engineering from Sogang University,
Seoul, Korea, in 2023, where he is currently pursuing an M.S. degree. Mr. Park is
a recipient of a scholarship sponsored by Samsung electronics. His current research
interests include data converters, and sensor interfaces.
Jun-Ho Boo received his B.S. and Ph.D. degrees in electronic engineering from Sogang
University, Seoul, Korea, in 2017 and 2023, respectively. From 2023 to 2025, he was
a Staff Engineer at Memory Division, Samsung Electronics, Hwaseong, Korea. Currently,
he is an Assistant Professor in the Division of Semiconductor and Electronics Engineering,
Hankuk University of Foreign Studies. His current research interests include analog
and mixed-signal circuits, data converters, and sensor interfaces.
Jae-Geun Lim received his B.S. degree in electronic engineering from Sogang University,
Seoul, Korea, in 2019, where he is currently pursuing a Ph.D. degree. Mr. Lim is a
recipient of a scholarship sponsored by Samsung electronics. His current research
interests include low-power and high-speed analog-to-digital converter.
Hyoung-Jung Kim received his B.S. degree in electronic engineering from Sogang
University, Seoul, Korea, in 2020, where he is currently pursuing a Ph.D. degree.
Mr. Kim is a recipient of a scholarship sponsored by Samsung electronics. His current
interests are in the design of low-power and high-speed analog-to-digital converter.
Jae-Hyuk Lee received his B.S. degree in electronic engineering from Sogang University,
Seoul, Korea, in 2020, where he is currently pursuing a Ph.D. degree. Mr. Lee is a
recipient of a scholarship sponsored by Samsung electronics. His current interests
are in the design of high-speed, high-resolution CMOS data converters, and very high-speed
mixed-mode integrated systems.
Seong-Bo Park received his B.S. degree in electronic engineering from Sogang University,
Seoul, Korea, in 2022, where he is currently pursuing a Ph.D. degree. Mr. Park is
a recipient of a scholarship sponsored by Samsung electronics. His current research
interests include data converters, and sensor interfaces.
Won-Jun Cho received his B.S. degree in electronic engineering from Kyungpook National
University, Daegu, Korea, in 2022, and an M.S. degree in electronic engineering from
Sogang University, Seoul, Korea in 2024, respectively. He is currently with the Samsung
Electronics Co., Ltd. His current research interests include data converters, and
sensor interfaces.
Gil-Cho Ahn received his B.S. and M.S. degrees in electronic engineering from Sogang
University, Seoul, Korea, in 1994 and 1996, respectively, and a Ph.D. degree in electrical
engineering from Oregon State University, Corvallis, in 2005. From 1996 to 2001, he
was a Design Engineer at Samsung Electronics, Kiheung, Korea, working on mixed analog-digital
integrated circuits. From 2005 to 2008, he was with Broadcom Corporation, Irvine,
CA, working on AFE for digital TV. Currently, he is a Professor in the Department
of Electronic Engineering, Sogang University. His research interests include high-speed,
high-resolution data converters and low-voltage, low-power mixed-signal circuits design.