A CT ΔΣ modulator using 4-bit asynchronous SAR quantizer and MPDWA DEM

Javahernia, Sahel; Aghdam, Esmaeil Najafi; Torkzadeh, Pooya

doi:10.1016/j.aeue.2018.12.005

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…FoM S = DR dB + 10log Bandwidth power (10) The performance comparison of the proposed modulator with the existing modulators [14,15,18] is provided in Table 2. The SFDR of the proposed modulator achieves a peak value when the bandwidth is 20 kHz.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The effectiveness of the proposed modulator can also be validated using two figure of merit (FoM) measures namely, Walden FoM and Schreier FoM. These FoM measures can be calculated by using the following expressions:

Fo M_{W} = \frac{power}{2 \times Bandwidth \times 2^{ENOB}}

Fo M_{S} = {(D R)}_{dB} + 10 \log ()(, \frac{Bandwidth}{power})

The performance comparison of the proposed modulator with the existing modulators [14, 15, 18] is provided in Table 2.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…An adequate suppression for the comparator noise and quantisation error was provided by the frontend RC filter. Javahernia , et al [14] improved the resolution and bandwidth of the SAR based CTDSM using NRZ feedback DAC. Also, a DWA method was utilised for improving the linearity of the circuit.…”

Section: Related Workmentioning

confidence: 99%

“…Also, fixed delay between the feedback DAC and the quantiser can be compensated using the straight feedback path to the quantiser [13]. On the other hand, a highly efficient DEM method namely, data weighted averaging (DWA) is specifically used when the feedback path contains several DAC components [14]. The DWA is mainly developed for the selection of different DAC cells to sequential codes.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient CTDSM based on GM‐C quantiser and improved dynamic element matching

Sahu¹,

Chandra

Sinha

et al. 2020

IET Circuits, Devices & Systems

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In this study, a continuous-time delta-sigma modulator (CTDSM) is developed using a Gm-C based noise-shaping quantiser (Gm-C-NSQ) with an improved dynamic element matching (i-DEM) algorithm. Here, a Gm-C integrator is used to develop NSQ, since it increases the effectiveness of the proposed modulator in terms of power consumption and die area. This Gm-C-NSQ uses only three dynamic latches to provide efficient quantisation level and to increase the order of noise shaping. Moreover, an i-DEM algorithm is utilised to reduce the non-linearities of the quantiser and mismatching error of the digital-toanalogue converters presented in the feedback structure of the modulator. Here, an 180 nm CMOS technology is used to design the proposed modulator and it functions at 2.6 MHz sampling frequency. Simulation results show that the proposed modulator can achieve a peak spurious-free dynamic range (SFDR) of 93.67 dB and a peak signal-to-noise ratio of 87.38 dB for 20 kHz signal bandwidth. Furthermore, the proposed modulator consumes 0.0863 mW power when 1.2 V supply voltage is applied.

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