Abstract

This paper presents an analog front-end for fine-dust detection systems with a 77-dB-wide dynamic range and a dual-mode ultra-low noise TIA with 142-dBΩ towards the maximum gain. The required high sensitivity of the analog signal conditioning path dictates having a high sensitivity at the front-end while the Input-Referred Noise (IRN) is kept low. Therefore, a TIA with a high sensitivity to detected current bio-signals is provided by a photodiode module. The analog front end is formed by the TIA, a DC-Offset Cancellation (DCOC) circuit, a Single-to-Differential Amplifier (SDA), and two Programmable Gain Amplifiers (PGAs). Gain adjustment is implemented by a coarse-gain-step using selective loads with four different gain values and fine-gain steps by 42 dB dynamic range during 16 fine steps. The settling time of the TIA is compensated using a capacitive compensation which is applied for the last stage. An off-state circuitry is proposed to avoid any off-current leakage. This TIA is designed in a 0.18 µm standard CMOS technology. Post-layout simulations show a high gain operation with a 67 dB dynamic range, input-referred noise, less than 600 fA/√Hz in low frequencies, and less than 27 fA/√Hz at 20 kHz, a minimum detectable current signal of 4 pA, and a 2.71 mW power consumption. After measuring the full path of the analog signal conditioning path, the experimental results of the fabricated chip show a maximum gain of 142 dB for the TIA. The Single-to-Differential Amplifier delivers a differential waveform with a unity gain. The PGA1 and PGA2 show a maximum gain of 6.7 dB and 6.3 dB, respectively. The full-path analog front-end shows a wide dynamic range of up to 77 dB in the measurement results.

Highlights

  • Fine particulate matter or PM2.5 refers to the particles in the air Sensors 2021, 21, 6360 air pollution types [1]

  • In sitivity and gain adjustability to perform the signal task over the input this paper, an analog front-end was proposed for aconditioning fine-dust detection system with biohigh signal from the sensor

  • The dynamic range of the proposed analog front-end is obtained as 77 dB due to the gain

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Summary

Introduction

Fine particulate matter or PM2.5 refers to the particles in the air Sensors 2021, 21, 6360 air pollution types [1]. Various studies have been done to estimate air pollution in both indoor lung cancer, asthma, and premature death are reported as the side-effects of the PM2.5 and outdoor applications [6,7,8,9]. In [9], research wasInbased paper, an analog front-end was proposed for a fine-dust detection system with high senon the analysis of the captured images through the satellites from the atmosphere. In sitivity and gain adjustability to perform the signal task over the input this paper, an analog front-end was proposed for aconditioning fine-dust detection system with biohigh signal from the sensor. Sensitivity and gain adjustability to perform the signal conditioning task over the input bio-signal from the sensor

The Proposed Fine-Dust Detection Analog Front-End Signal Conditioning Path
A Serial
Dual-Mode Adjustable Gain Low Noise TIA with Indirect Feedback Biasing
Programmable
Comparison over various
Conclusions
Full Text
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