Bi-Linear Homogeneity Enforced Calibration for Pipelined ADCs

Research output: Contribution to journalArticlepeer-review

Abstract

Pipelined analog-to-digital converters (ADCs) are key enablers in many state-of-the-art signal processing systems with high sampling rates. In addition to high sampling rates, such systems often demand a high linearity. To meet these challenging linearity requirements, ADC calibration techniques were heavily investigated throughout the past decades. One limitation in ADC calibration is the need for a precisely known test signal. In our previous work, we proposed the homogeneity enforced calibration (HEC) approach, which circumvents this need by consecutively feeding a test signal and a scaled version of it into the ADC. The calibration itself is performed using only the corresponding output samples, such that the test signal can remain unknown. On the downside, the HEC approach requires to accurately scale the test signal, impeding an on-chip implementation. In this work, we provide a thorough analysis of the HEC approach, including limitations such as the effects of an inaccurately scaled test signal. Furthermore, the bi-linear homogeneity enforced calibration (BL-HEC) approach is introduced and suggested to account for an inaccurate scaling and, therefore, to facilitate an on-chip implementation. In addition, a comprehensive stability analysis of the BL-HEC approach is carried out. Finally, we verify our concept with behavioral Matlab simulations and measurements conducted on 24 integrated ADCs.
Original languageEnglish
Pages (from-to)149734-149749
Number of pages16
JournalIEEE Access
Volume13
DOIs
Publication statusPublished - 25 Aug 2025

Fields of science

  • 202015 Electronics
  • 202028 Microelectronics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202037 Signal processing
  • 202023 Integrated circuits
  • 202036 Sensor systems
  • 202022 Information technology
  • 202033 Radar technology
  • 202019 High frequency engineering
  • 202029 Microwave engineering

JKU Focus areas

  • Digital Transformation

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