scholarly journals An 8.72 µW Low-Noise and Wide Bandwidth FEE Design for High-Throughput Pixel-Strip (PS) Sensors

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1760
Author(s):  
Folla Kamdem Jérôme ◽  
Wembe Tafo Evariste ◽  
Essimbi Zobo Bernard ◽  
Maria Liz Crespo ◽  
Andres Cicuttin ◽  
...  

The front-end electronics (FEE) of the Compact Muon Solenoid (CMS) is needed very low power consumption and higher readout bandwidth to match the low power requirement of its Short Strip application-specific integrated circuits (ASIC) (SSA) and to handle a large number of pileup events in the High-Luminosity Large Hadron Collider (LHC). A low-noise, wide bandwidth, and ultra-low power FEE for the pixel-strip sensor of the CMS has been designed and simulated in a 0.35 µm Complementary Metal Oxide Semiconductor (CMOS) process. The design comprises a Charge Sensitive Amplifier (CSA) and a fast Capacitor-Resistor-Resistor-Capacitor (CR-RC) pulse shaper (PS). A compact structure of the CSA circuit has been analyzed and designed for high throughput purposes. Analytical calculations were performed to achieve at least 998 MHz gain bandwidth, and then overcome pileup issue in the High-Luminosity LHC. The spice simulations prove that the circuit can achieve 88 dB dc-gain while exhibiting up to 1 GHz gain-bandwidth product (GBP). The stability of the design was guaranteed with an 82-degree phase margin while 214 ns optimal shaping time was extracted for low-power purposes. The robustness of the design against radiations was performed and the amplitude resolution of the proposed front-end was controlled at 1.87% FWHM (full width half maximum). The circuit has been designed to handle up to 280 fC input charge pulses with 2 pF maximum sensor capacitance. In good agreement with the analytical calculations, simulations outcomes were validated by post-layout simulations results, which provided a baseline gain of 546.56 mV/MeV and 920.66 mV/MeV, respectively, for the CSA and the shaping module while the ENC (Equivalent Noise Charge) of the device was controlled at 37.6 e− at 0 pF with a noise slope of 16.32 e−/pF. Moreover, the proposed circuit dissipates very low power which is only 8.72 µW from a 3.3 V supply and the compact layout occupied just 0.0205 mm2 die area.

2010 ◽  
Vol 22 (04) ◽  
pp. 301-306 ◽  
Author(s):  
Mohammad Hossein Zarifi ◽  
Javad Frounchi ◽  
Mohammad A. Tinati ◽  
Shahin Farshchi ◽  
Jack W. Judy

Monitoring the electrical activities of a large number of neurons in vertebrates' central nervous system in vivo through hundreds of parallel channels without interferring in their natural functions is a neuroscientist's interest. Value of this information in both scientific and clinical contexts, especially in expansion of brain–computer interfaces, is extremely significant. Therefore, low-noise amplifiers are needed with filtering capability on the front end to amplify the desired signals and eliminate direct current baseline shifts. Hence, size and power consumption need to be minimized to reduce trauma and heat dissipation, which can result in tissue damage for human applications and the system needs to be implantable and wireless. The practical solution for developing such systems is system-on-a-chip, based on ultra-low-power mixed-mode and wideband RFIC designs. They, however, impose a number of challenges that may require nontraditional solutions. In this paper, we present a fully differential low-power low-noise preamplifier suitable for recording biological signals, from a few mHz up to 10 kHz. This amplifier has a bandpass filter that is tunable between 10 mHz and 10 kHz, and has been designed and simulated in a standard 90-nm CMOS process. The circuit consumes 10 μW from a 1.2 V supply and provides a gain of 40 dB and an output swing of ±0.5 V with a total harmonic distortion of less than 0.5%. The total input-referred noise level is 4.6 μV integrating the noise over 0.01 Hz to 10 kHz.


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.


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.


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.


2011 ◽  
Vol 3 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Michael Kraemer ◽  
Daniela Dragomirescu ◽  
Robert Plana

The research on the design of receiver front-ends for very high data-rate communication in the 60 GHz band in nanoscale Complementary Metal Oxide Semiconductor (CMOS) technologies is going on for some time now. Although a multitude of 60 GHz front-ends have been published in recent years, they are not consequently optimized for low power consumption. Thus, these front-ends dissipate too much power for battery-powered applications like handheld devices, mobile phones, and wireless sensor networks. This article describes the design of a direct conversion receiver front-end that addresses the issue of power consumption, while at the same time permitting low cost (due to area minimization by the use of spiral inductors). It is implemented in a 65 nm CMOS technology. The realized front-end achieves a record power consumption of only 43 mW including low-noise amplifier (LNA), mixer, a voltage controlled oscillator (VCO), a local oscillator (LO) buffer, and a baseband buffer (without this latter buffer the power consumption is even lower, only 29 mW). Its pad-limited size is 0.55 × 1 mm2. At the same time, the front-end achieves state-of-the-art performance with respect to its other properties: Its maximum measured power conversion gain is 30 dB, the RF and IF bandwidths are 56.5–61.5 and 0–1.5 GHz, respectively, its measured minimum noise figure is 9.2 dB, and its measured IP−1 dB is −36 dBm.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8268
Author(s):  
Hiroshi Fuketa

This paper presents an ultra-low power hand gesture sensor using electrostatic induction for mobile devices. Two electrodes, which consist of electret foils stacked on metal sheets, are used to recognize two gestures such as hand movements from left to right and right to left. The hand gesture recognition is realized by detecting the electrostatic induction currents induced by hand movements. However, the electrostatic induction currents are significantly small; hence, a hand gesture recognition chip is first designed in this study to amplify and detect the small electrostatic induction currents with low power. This chip is fabricated in a commercial 180 nm complementary metal oxide semiconductor (CMOS) process, and the measurement results indicate that the fabricated gesture recognition chip consumes 406 nW, which is less than 1/100th of the power dissipation of conventional gesture sensors.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1205 ◽  
Author(s):  
Iván Zamora ◽  
Eyglis Ledesma ◽  
Arantxa Uranga ◽  
Núria Barniol

This paper presents an analog front-end transceiver for an ultrasound imaging system based on a high-voltage (HV) transmitter, a low-noise front-end amplifier (RX), and a complementary-metal-oxide-semiconductor, aluminum nitride, piezoelectric micromachined ultrasonic transducer (CMOS-AlN-PMUT). The system was designed using the 0.13-μm Silterra CMOS process and the MEMS-on-CMOS platform, which allowed for the implementation of an AlN PMUT on top of the CMOS-integrated circuit. The HV transmitter drives a column of six 80-μm-square PMUTs excited with 32 V in order to generate enough acoustic pressure at a 2.1-mm axial distance. On the reception side, another six 80-μm-square PMUT columns convert the received echo into an electric charge that is amplified by the receiver front-end amplifier. A comparative analysis between a voltage front-end amplifier (VA) based on capacitive integration and a charge-sensitive front-end amplifier (CSA) is presented. Electrical and acoustic experiments successfully demonstrated the functionality of the designed low-power analog front-end circuitry, which outperformed a state-of-the art front-end application-specific integrated circuit (ASIC) in terms of power consumption, noise performance, and area.


2019 ◽  
Vol 15 (3) ◽  
pp. 315-322
Author(s):  
Manu Chilukuri ◽  
Sungyong Jung ◽  
Hoon-Ju Chung

In this paper, a low noise and low power analog front end for piezoelectric microphones used in hearing aid devices is presented. It consists of a Charge Amplifier, followed by a Variable Gain Amplifier and an Analog-to-Digital Converter. At the core of charge amplifier a two stage opamp with modified cascode current mirror is designed which achieves a gain of 93 dB and phase margin of 62°. Designed analog front end achieves an input referred noise of 0.12 μVrms and SNR of 74 dB. It consumes power of 430 μW from 1.8 V supply and occupies an area of 1.2 mm × 0.22 mm. Proposed circuit is designed and fabricated in 0.18 μm CMOS process. Designed circuit is interfaced with a sensor model of piezoelectric microphone, which mimics Ormia ochracea's auditory system, and its performance is successfully verified against simulation results.


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