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Massively parallel coherent laser ranging using a soliton microcomb.

Johann Riemensberger1, Anton Lukashchuk1, Maxim Karpov1

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Summary
This summary is machine-generated.

A new photonic chip-based soliton microcomb enables massively parallel coherent ranging (FMCW lidar). This breakthrough significantly increases acquisition speed and parallelization for 3D distance and velocity measurements in autonomous driving.

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Area of Science:

  • Photonics and Optical Engineering
  • Sensor Technology
  • Autonomous Systems

Background:

  • Coherent ranging, or frequency-modulated continuous-wave (FMCW) lidar, is crucial for 3D distance and velocity measurements in autonomous driving.
  • Current FMCW lidar systems suffer from low acquisition speeds and limited parallelization due to requirements for precisely chirped and highly coherent laser sources.
  • This hinders their widespread adoption compared to time-of-flight systems.

Purpose of the Study:

  • To demonstrate a massively parallel coherent lidar scheme.
  • To overcome the speed and parallelization limitations of existing FMCW lidar technology.
  • To enable compact, ultrahigh-frame-rate coherent lidar systems for advanced applications.

Main Methods:

  • Utilized an ultra-low-loss photonic chip-based soliton microcomb.
  • Employed fast chirping of the pump laser within the soliton existence range.
  • Transferred the chirp from a single laser to all spectral comb teeth simultaneously, enabling parallelism.

Main Results:

  • Demonstrated a massively parallel FMCW lidar scheme generating 30 distinct channels.
  • Achieved parallel distance and velocity measurements at an equivalent rate of 3 megapixels per second.
  • Showcased potential for sampling rates exceeding 150 megapixels per second and a two-order-of-magnitude increase in image refresh rate.

Conclusions:

  • The developed soliton microcomb approach enables unprecedented parallelism in FMCW lidar.
  • This technology offers a pathway to compact, ultrahigh-frame-rate coherent lidar systems.
  • Integration with photonic phase arrays can further enhance lidar capabilities for autonomous driving and other applications.