Efficient Data Readout and Error Correction for Superconducting ADC Digitizers
Abstract
ABSTRACT: Superconducting electronics (SCE) based data converters (ADC) have shown greater than three-orders of magnitude higher energy-efficiencies than CMOS technology. SCE data converters allows direct digitization of RF signals and digital processing of the digitized RF signals up to GHz frequencies. However, the potential of SCE in wide-bandwidth high-dynamic range dataconversion is tempered by the basic theoretical and technology development challenges of immature technologies. This research work seeks to address the fundamental bottleneck associated with the wide-bandwidth and multi-GB/s data transfer for multiple-channels. However, the high oversampling rates of SCE ADCs contrasts strongly with the lower than 1 GHz clock rates of useful room-temperature CMOS circuits, highly stressing the systems for data transmission out of 4K. In addition, the input signal dependent signature of the spurs reduces the dynamic range for unambiguous signal interpretation across the wide bandwidth, constraining the SCE-ADC~s performance in high-performance defense systems. We propose to leverage compressive sampling techniques that will reduce the clock-speed requirements for the data transmission from 4K, making further DSP processing by room temperature CMOS easier. Further,the proposed research will use adaptive signal processing techniques for alleviating spurs that can improve the SFDR for a wideband SCE receiver. Specifically, the proposed research objectives are: 1) Modeling techniques for area-efficient data compression in oversampled SCE-ADC, and 2) Investigate digital calibration for alleviating input signal dependent spurs.The proposed research brings together novel concepts and tools from signal processing to SCE hardware and mixed-signal circuit design, to advance basic science and engineering of future exascale TB/s communication links. The investigation of the fundamental sub-system constraints and higher-level integrated system modeling and optimization is expected to unravel cross-domain design techniques for developing highly efficient and scalable heterogeneous temperature based multi-platform systems. The research will benefit several emerging millimeter-wave cases, such as backhaul, fiber-to-home, and mobile access networks. It will also impact other more DoD specific areas, including radar, imaging, sensing, localization, and vehicular communication networks.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 10, 2018
- Source ID
- N000141812254
Entities
People
- Subhanshu Gupta
Organizations
- Office of Naval Research
- United States Navy
- Washington State University