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Noise Analysis for Correlation-Assisted Direct Time-of-Flight.

Ayman Morsy1, Jonathan Vrijsen1, Jan Coosemans1

  • 1Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.

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Summary
This summary is machine-generated.

A new correlation-assisted direct time-of-flight (CA-dToF) pixel offers low power and noise suppression for time-of-flight applications. This study analyzes its performance limitations and proposes solutions for improved reliability and implementation.

Keywords:
depth sensinglight detection and ranging (LiDAR)pixel noise analysissingle-photon avalanche diode (SPAD)time-of-flight (ToF)

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Area of Science:

  • Photonics and Sensor Technology
  • Integrated Circuit Design

Background:

  • Direct time-of-flight (dToF) sensors are crucial for applications requiring precise distance measurements.
  • Existing dToF pixels face challenges with power consumption, ambient light noise, and systematic errors.
  • Correlation-assisted direct time-of-flight (CA-dToF) pixels offer a promising alternative with enhanced features.

Purpose of the Study:

  • To investigate the robustness of the CA-dToF pixel against various noise sources.
  • To identify and analyze performance limitations, including SPAD deadtime and component mismatches.
  • To propose methods for enhancing the CA-dToF pixel's reliability and implementation.

Main Methods:

  • Systematic error analysis of the CA-dToF pixel architecture.
  • Investigation of noise impact: timing jitter, kTC noise, switching noise, and photon shot noise.
  • Evaluation of limitations: SPAD deadtime, source follower gain mismatch, and offset.

Main Results:

  • The CA-dToF pixel demonstrates effectiveness in low power consumption and ambient shot noise suppression.
  • Identified key systematic errors and their impact on dToF measurement accuracy.
  • Quantified the influence of timing jitter, kTC noise, switching noise, and photon shot noise.

Conclusions:

  • The CA-dToF pixel presents a viable solution for advanced time-of-flight applications.
  • Understanding and mitigating identified systematic errors are crucial for optimal performance.
  • Proposed solutions can significantly enhance the reliability and practical implementation of CA-dToF pixels.