@Article{cmes.2022.016086,
AUTHOR = {Jamel Nebhen, Pietro M. Ferreira},
TITLE = {A Chopper Negative-R Delta-Sigma ADC for Audio MEMS Sensors},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {130},
YEAR = {2022},
NUMBER = {2},
PAGES = {607--631},
URL = {http://www.techscience.com/CMES/v130n2/45937},
ISSN = {1526-1506},
ABSTRACT = {This paper presents a proposed low-noise and high-sensitivity Internet of Thing (IoT) system based on an M&NEMS microphone. The IoT device consists of an M&NEMS resistive accelerometer associated with an electronic readout circuit, which is a silicon nanowire and a Continuous-Time (CT) <i>Δ Σ</i> ADC. The first integrator of the <i>Δ Σ</i> ADC is based on a positive feedback DC-gain enhancement two-stage amplifier due to its high linearity and low-noise operations. To mitigate both the offset and 1/<i>f</i> noise, a suggested delay-time chopper negative-R stabilization technique is applied around the first integrator. A 65-nm CMOS process implements the CT Δ Σ ADC. The supply voltage of the CMOS circuit is 1.2-V while 0.96-mW is the power consumption and 0.1-mm<sup>2</sup> is the silicon area. The M&NEMS microphone and <i>Δ Σ</i> ADC complete circuit are fabricated and measured. Over a working frequency bandwidth of 20-kHz, the measurement results of the proposed IoT system reach a signal to noise ratio (SNR) of 102.8-dB. Moreover, it has a measured dynamic range (DR) of 108-dB and a measured signal to noise and distortion ratio (SNDR) of 101.3-dB.},
DOI = {10.32604/cmes.2022.016086}
}