A 36.4dB SNDR @ 5GHz 1.25GS/s 7b 3.56mW SAR ADC Using Switch-Bootstrapping, Unit-Switch-Plus-Cap DAC and Triple-Tail Comparator in 28nm Bulk CMOS

  • Ramkaj A.
  • Steyaert M.
  • Strackx M.
  • Tavernier F.

A 1.25GS/s 7b single-channel SAR ADC is presented with an SNDR/SFDR of 41.4dB/51dB at low frequencies, while the SNDR/SFDR at Nyquist are 40.1dB/52dB and are still 36.4dB/50.1dB at 5GHz. The high input frequency linearity is enabled by a fast bootstrap circuit for the input switch, while the high sampling rate, the highest among recently published >34dB SNDR single-channel SARs is achieved by a Triple-Tail dynamic comparator and a Unit-Switch-Plus-Cap (USPC) DAC. The prototype ADC in 28nm CMOS consumes 3.56mW from a 1V supply, leading to a Walden FoM of 34.4fJ/conv-step for a core chip area of 0.0071mm2.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...