A Prony-Based Curve-Fitting Method for Characterization of RF Pulses From Optoelectronic Devices

Saptarshi Mukherjee, Karen Dowling, Yicong Dong, Kexin Li, Shaloo Rakheja, Lars Voss

Research output: Contribution to journalArticlepeer-review


There has been a boost in optoelectronic device technology that can leverage strengths of both optical and electronic worlds to support high-voltage and high-speed operation. It is critical to characterize the RF performance from the measured signals of these devices in order to evaluate their performance, optimize their designs and also aid in better understanding of the device physics. Conventional curve-fitting models either fail to fit measured signals with high accuracy or provide limited, if any, information about the device physics. Here, we propose a Prony-based curve-fitting method to characterize RF pulse measurements from such optoelectronic devices. The performance of the overall algorithm on measurement data shows high accuracy, with the capability to extract key pulse parameters such as full width at half maximum and rise time. Additionally, the capability of the method to extract time constants associated with semiconductor traps can help in better understanding of optoelectronic device physics.

Original languageEnglish (US)
Pages (from-to)364-368
Number of pages5
JournalIEEE Signal Processing Letters
StatePublished - 2022


  • Curve fitting
  • Fitting
  • Gaussian distribution
  • Optoelectronic devices
  • Prony method
  • Pulse measurements
  • Radio frequency
  • RF signals
  • Semiconductor device measurement
  • Signal analysis
  • Time measurement

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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