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Ultra-fast optical ranging using quantum-dash mode-locked laser diodes.
Philipp Trocha1, Juned Nassir Kemal1, Quentin Gaimard2
1Institute of Photonics and Quantum Electronics (IPQ), Karlsruhe Institute of Technology (KIT), Engesserstrasse 5, 76131, Karlsruhe, Germany.
Scientific Reports
|January 21, 2022
Summary
Quantum-dash mode-locked laser diodes (QD-MLLDs) enable compact, high-speed LiDAR systems. These chip-scale devices offer high accuracy and unprecedented loss tolerance for advanced ranging applications.
Area of Science:
- Photonics and Optical Engineering
- Laser Technology
- Sensor Systems
Background:
- Laser-based Light Detection and Ranging (LiDAR) is crucial for science and industry.
- Compactness and power efficiency are vital for high-volume LiDAR applications like industrial sensing and autonomous navigation.
- Existing miniaturized comb sources face technical challenges in achieving high optical power and efficiency.
Purpose of the Study:
- To demonstrate quantum-dash mode-locked laser diodes (QD-MLLDs) as a viable solution for high-performance chip-scale ranging systems.
- To overcome the limitations of current miniaturized comb sources for LiDAR.
- To enable compact, power-efficient, and high-accuracy LiDAR systems.
Main Methods:
- Utilized quantum-dash mode-locked laser diodes (QD-MLLDs) for frequency comb generation.
- Implemented coherent dual-comb ranging techniques.
- Integrated QD-MLLDs with advanced silicon photonic receivers.
Main Results:
- Achieved measurement rates up to 500 MHz, the highest demonstrated for any ranging system.
- Demonstrated reliable measurements with low optical return powers (-40 dBm).
- Attained a record loss tolerance of 49 dB for chip-scale dual-comb ranging systems.
Conclusions:
- QD-MLLDs provide a compact and efficient platform for high-performance chip-scale LiDAR.
- The developed system offers high accuracy, speed, and significant loss tolerance.
- Combining QD-MLLDs with silicon photonics presents a pathway to robust and simple chip-scale LiDAR solutions.

