Abstract:
Many \text{IoT} applications demand ADCs with high resolution, medium bandwidth, and good energy efficiency. Lately, the incremental ADC is drawing rising attention by ...Show MoreMetadata
Abstract:
Many \text{IoT} applications demand ADCs with high resolution, medium bandwidth, and good energy efficiency. Lately, the incremental ADC is drawing rising attention by favoring system integration with its easy multiplexing and simple digital filtering. By combining a low-power SAR with a low-distortion \Delta\Sigma modulator, the zoom architecture achieves high energy efficiency and high resolution simultaneously [1–2]. However, the conventional zoom ADC can only convert quasi-static signals, since the two stages operate sequentially, and its \Delta\Sigma conversion operates at a slow speed. The dynamic zoom architecture performs coarse and fine conversions concurrently, thus being able to convert varying inputs [3–4]. Yet, limited by the low quantization level of the fine \Delta\Sigma \mathrm{M}, it requires a large OSR for the targeted resolution (e.g., 282.25 in [3] and 87.5 in [4]), which restricts the input bandwidth to several tens of \text{kHz}, Moreover, its loop filter relies on charge transfer, where each conversion requires dedicated sampling for its residue generation. As a result, in addition to the limited input bandwidth, the largely repeated sampling operation incurs extra power and design challenge for input drivers. The CT zoom architecture features easy driving while still requiring a large conversion cycle of 8192 in [5]. Recently, the emerging noise-shaping (NS) SAR ADC employs the efficient SAR for the multi-bit quantizer, significantly reducing conversion cycles [6–7]. However, without the initial coarse quantization, high loop filter orders are usually required for hig h -resolution applications, raising significant hardware cost and design complexity.
Date of Conference: 19-23 February 2023
Date Added to IEEE Xplore: 23 March 2023
ISBN Information: