Digitally controlled oscillator gain estimation for RF-DPLLs in 4G LTE polar transmitters

Tobias Buckel, Stefan Tertinek, Ram Sunil Kanumalli, Thomas Mayer, Christian Wicpalek, Robert Weigel, Thomas Ussmüller

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The gain of a digitally controlled oscillator (DCO) represents a crucial parameter for wideband phase modulators utilized in polar transmitters supporting SC-FDMA in LTE uplink. Accurate normalization of the DCO gain is necessary for a two-point modulation of a RF digital phase-locked loop (DPLL) to not degrade the in-band modulation quality and out-of-band emissions. The DCO gain can change due to process, voltage and temperature effects and therefore has to be estimated during runtime. A common way to estimate the DCO gain is by minimizing the residual error due to phase modulation signal content present in the error feedback signal of the DPLL control loop. This paper derives a simple discrete time, single-rate model of the DCO gain estimation and investigates the behavior and impact on modulation quality for different resource block (RB) allocation scenarios found in LTE uplink transmission. It is shown that the DCO gain estimation is sensitive to modulation signals with contiguous, sparse RB allocation and problems may arise in certain transmission scenarios.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2016)
PublisherIEEE
Pages2130-2133
Number of pages4
DOIs
Publication statusPublished - May 2016

Publication series

NameIEEE International Conference on Circuits and Systems
ISSN (Print)2379-447X

Fields of science

  • 202040 Transmission technology
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202015 Electronics
  • 202022 Information technology
  • 202023 Integrated circuits
  • 202028 Microelectronics
  • 202030 Communication engineering
  • 202034 Control engineering
  • 202037 Signal processing

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing

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