Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6879668 | AEU - International Journal of Electronics and Communications | 2018 | 25 Pages |
Abstract
This paper compares the performance of the sigma delta analog-to-digital converter (ΣÎADC) and the nonuniform sampling analog-to-digital converter (NUSADC) in terms of their achieved signal-to-quantization noise ratio (SQNR) and their computational complexity. Relaxation of the performance requirements of an anti-aliasing filter preceding an ADC can be achieved with oversampling and/or nonuniform sampling of the input signal. Oversampling is performed in the ΣÎADC, and nonuniform sampling is implemented in the NUSADC. For the NUSADC, 4-bit and 7-bit voltage crossing levels are used and for the ΣÎADC, first- and second-order modulators with a single-bit quantizer are used. The NUSADC uses an additive “dither signal” to force threshold crossing events and achieve a predictable average sampling rate. The average rate of nonuniform samples is calculated for both 4-bit and 7-bit NUSADC. The equivalent sampling frequency is used for the ΣÎADC, allowing us to compare two architectures using equivalent sampling frequencies. We found that the first-order ΣÎADC has inferior performance as compared to NUSADC, while the second-order ΣÎADC can achieve equivalent SQNR values. The results also show that the second-order ΣÎADC achieved an SQNR nearly equal to that of the NUSADC, with less computational cost.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Shanta Guni, Aurenice Oliveira, Daniel R. Fuhrmann,