scholarly journals A LOW-NOISE LOW-POWER SECOND-ORDER COMPENSATED CMOS BANDGAP REFERENCE

Author(s):  
Sigit Yuwono ◽  
Arie Van Staveren

The design of a low-noise and low-power second-order bandgap reference voltage source using a linear combination of two base-emitter voltages with only one scaling factor is treated. The design takes into account the temperature dependency of the resistors and the finite current gain of BJT�s. The circuit is integrated in a CMOS process. The output voltage is approximately 140 mV with an average temperature dependency of 22.5 ppm/K in the range of 0�C to 120�C. Its equivalent output noise voltage is 57.6nV/vHz. The total current consumption is about 115 �A from a 2V voltage-supply.Keywords: bandgap reference, negative feedback, systematic design.

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
S. Chrisben Gladson ◽  
Adith Hari Narayana ◽  
V. Thenmozhi ◽  
M. Bhaskar

AbstractDue to the increased processing data rates, which is required in applications such as fifth-generation (5G) wireless networks, the battery power will discharge rapidly. Hence, there is a need for the design of novel circuit topologies to cater the demand of ultra-low voltage and low power operation. In this paper, a low-noise amplifier (LNA) operating at ultra-low voltage is proposed to address the demands of battery-powered communication devices. The LNA dual shunt peaking and has two modes of operation. In low-power mode (Mode-I), the LNA achieves a high gain ($$S21$$ S 21 ) of 18.87 dB, minimum noise figure ($${NF}_{min.}$$ NF m i n . ) of 2.5 dB in the − 3 dB frequency range of 2.3–2.9 GHz, and third-order intercept point (IIP3) of − 7.9dBm when operating at 0.6 V supply. In high-power mode (Mode-II), the achieved gain, NF, and IIP3 are 21.36 dB, 2.3 dB, and 13.78dBm respectively when operating at 1 V supply. The proposed LNA is implemented in UMC 180 nm CMOS process technology with a core area of $$0.40{\mathrm{ mm}}^{2}$$ 0.40 mm 2 and the post-layout validation is performed using Cadence SpectreRF circuit simulator.


Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6456
Author(s):  
Fernando Cardes ◽  
Nikhita Baladari ◽  
Jihyun Lee ◽  
Andreas Hierlemann

This article reports on a compact and low-power CMOS readout circuit for bioelectrical signals based on a second-order delta-sigma modulator. The converter uses a voltage-controlled, oscillator-based quantizer, achieving second-order noise shaping with a single opamp-less integrator and minimal analog circuitry. A prototype has been implemented using 0.18 μm CMOS technology and includes two different variants of the same modulator topology. The main modulator has been optimized for low-noise, neural-action-potential detection in the 300 Hz–6 kHz band, with an input-referred noise of 5.0 μVrms, and occupies an area of 0.0045 mm2. An alternative configuration features a larger input stage to reduce low-frequency noise, achieving 8.7 μVrms in the 1 Hz–10 kHz band, and occupies an area of 0.006 mm2. The modulator is powered at 1.8 V with an estimated power consumption of 3.5 μW.


Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2420 ◽  
Author(s):  
Sung Jin Kim ◽  
Dong Gyu Kim ◽  
Seong Jin Oh ◽  
Dong Soo Lee ◽  
Young Gun Pu ◽  
...  

This paper presents a low power Gaussian Frequency-Shift Keying (GFSK) transceiver (TRX) with high efficiency power management unit and integrated Single-Pole Double-Throw switch for Bluetooth low energy application. Receiver (RX) is implemented with the RF front-end with an inductor-less low-noise transconductance amplifier and 25% duty-cycle current-driven passive mixers, and low-IF baseband analog with a complex Band Pass Filter(BPF). A transmitter (TX) employs an analog phase-locked loop (PLL) with one-point GFSK modulation and class-D digital Power Amplifier (PA) to reduce current consumption. In the analog PLL, low power Voltage Controlled Oscillator (VCO) is designed and the automatic bandwidth calibration is proposed to optimize bandwidth, settling time, and phase noise by adjusting the charge pump current, VCO gain, and resistor and capacitor values of the loop filter. The Analog Digital Converter (ADC) adopts straightforward architecture to reduce current consumption. The DC-DC buck converter operates by automatically selecting an optimum mode among triple modes, Pulse Width Modulation (PWM), Pulse Frequency Modulation (PFM), and retention, depending on load current. The TRX is implemented using 1P6M 55-nm Complementary Metal–Oxide–Semiconductor (CMOS) technology and the die area is 1.79 mm2. TRX consumes 5 mW on RX and 6 mW on the TX when PA is 0-dBm. Measured sensitivity of RX is −95 dBm at 2.44 GHz. Efficiency of the DC-DC buck converter is over 89% when the load current is higher than 2.5 mA in the PWM mode. Quiescent current consumption is 400 nA from a supply voltage of 3 V in the retention mode.


2011 ◽  
Vol 483 ◽  
pp. 471-474
Author(s):  
Wei Ping Chen ◽  
Qing Yi Wang ◽  
Liang Yin ◽  
Zhi Ping Zhou

In this work, an ASIC interface for quartz rate sensor (QRS) is introduced. Based on 0.6μm 18V N-well CMOS process, it is the first to be realized in the domestic. This chip has a minimized size of 5×4.4mm2. Compared with traditional interface constructed by separate devices, such interface implemented with integrated circuits is advantageous in size and power consumption. This satisfies the requirements of miniature and low power consumption in space industry and military domain. The test results show that this interface features low noise, high linearity, and stable operation. Integrated with the sensor, the entire system presents high performance in short term bias stability, nonlinearity, output noise, bias variation over temperature, and power consumption.


2018 ◽  
Vol 8 (3) ◽  
pp. 27 ◽  
Author(s):  
Avish Kosari ◽  
Jacob Breiholz ◽  
NingXi Liu ◽  
Benton Calhoun ◽  
David Wentzloff

This paper presents a power efficient analog front-end (AFE) for electrocardiogram (ECG) signal monitoring and arrhythmia diagnosis. The AFE uses low-noise and low-power circuit design methodologies and aggressive voltage scaling to satisfy both the low power consumption and low input-referred noise requirements of ECG signal acquisition systems. The AFE was realized with a three-stage fully differential AC-coupled amplifier, and it provides bio-signal acquisition with programmable gain and bandwidth. The AFE was implemented in a 130 nm CMOS process, and it has a measured tunable mid-band gain from 31 to 52 dB with tunable low-pass and high-pass corner frequencies. Under only 0.5 V supply voltage, it consumes 68 nW of power with an input-referred noise of 2.8 µVrms and a power efficiency factor (PEF) of 3.9, which makes it very suitable for energy-harvesting applications. The low-noise 68nW AFE was also integrated on a self-powered physiological monitoring System on Chip (SoC) that is used to capture ECG bio-signals. Heart rate extraction (R-R) detection algorithms were implemented and utilized to analyze the ECG data received by the AFE, showing the feasibility of <100 nW AFE for continuous ECG monitoring applications.


2012 ◽  
Vol 195-196 ◽  
pp. 84-89
Author(s):  
Da Hui Zhang ◽  
Ze Dong Nie ◽  
Feng Guan ◽  
Lei Wang

A low-power, wideband signaling receiver for data transmission through a human body was presented in this paper. The receiver utilized a novel implementation of energy-efficient wideband impulse communication that uses the human body as the transmission medium, provides low power consumption, high reception sensitivity. The receiver consists of a low-noise amplifier, active balun, variable gain amplifier (VGA) Gm-C filter, comparator, and FSK demodulator. It was designed with 0.18um CMOS process in an active area of 1.54mm0.414mm. Post-simulation showed that the receiver has a gain range of-2dB~40dB. The receiver consumes 4mW at 1.8V supply and achieves transmission bit energy of 0.8nJ/bit.


2021 ◽  
Vol 18 (4) ◽  
pp. 1327-1330
Author(s):  
S. Manjula ◽  
R. Karthikeyan ◽  
S. Karthick ◽  
N. Logesh ◽  
M. Logeshkumar

An optimized high gain low power low noise amplifier (LNA) is presented using 90 nm CMOS process at 2.4 GHz frequency for Zigbee applications. For achieving desired design specifications, the LNA is optimized by particle swarm optimization (PSO). The PSO is successfully implemented for optimizing noise figure (NF) when satisfying all the design specifications such as gain, power dissipation, linearity and stability. PSO algorithm is developed in MATLAB to optimize the LNA parameters. The LNA with optimized parameters is simulated using Advanced Design System (ADS) Simulator. The LNA with optimized parameters produces 21.470 dB of voltage gain, 1.031 dB of noise figure at 1.02 mW power consumption with 1.2 V supply voltage. The comparison of designed LNA with and without PSO proves that the optimization improves the LNA results while satisfying all the design constraints.


2014 ◽  
Vol 23 (05) ◽  
pp. 1450058
Author(s):  
S. MANJULA ◽  
D. SELVATHI

Low noise amplifier (LNA) is an important component in RF receiver front end. An inductively degenerated cascode low noise amplifier (IDCLNA) is mostly preferred for producing good trade-offs such as high gain, low noise figure (NF), high reverse isolation and low power consumption for narrowband applications. This IDCLNA structure is also used to reduce the gate induced noise on the noise performance by inserting the capacitance in parallel with the gate-to-source capacitance of main transistor. Usually, the parasitic overlap capacitances can impose serious constraints on achievable performance and is taken into account in IDCLNA. In this paper, IDCLNA is designed at a frequency of 2.4 GHz with analyzing the impact of parasitic overlap capacitances on IDCLNA in terms of unity current gain frequency (f T ) which will affect the NF of IDCLNA and simulated using 130 nm, 90 nm and 65 nm CMOS technologies. The NF of IDCLNA with and without parasitic overlap capacitances are analyzed and compared for different short channel CMOS processes. Simulation results show that the parasitic overlap capacitances have advantageous to reduce the gate induced noise in IDCLNA for 130-nm CMOS process for 2.4 GHz applications.


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