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Room-temperature, 96×96 pixel 3D-stacked InGaAs/InP SPAD sensor with complementary gating for flash LiDAR
Optics Express
|February 20, 2026
Summary
This study introduces a novel 3D-stacked flash LiDAR sensor for short-wave infrared applications. The sensor achieves high accuracy for indoor and outdoor ranging, demonstrating its potential for advanced imaging systems.
Area of Science:
- Photonics and Optoelectronics
- Integrated Circuits
- Sensor Technology
Background:
- Short-wave infrared (SWIR) imaging is crucial for various applications, including autonomous driving and robotics.
- Traditional LiDAR sensors often face limitations in terms of size, power consumption, and performance in challenging lighting conditions.
- 3D stacking offers a pathway to miniaturize and enhance sensor capabilities.
Purpose of the Study:
- To present a room-temperature, 3D-stacked flash LiDAR sensor operating in the SWIR spectrum.
- To demonstrate the sensor's ability to capture intensity images and depth maps with high accuracy.
- To evaluate the sensor's performance under varying lighting conditions and ranges.
Main Methods:
- Development of a 96x96 InGaAs-InP Single-Photon Avalanche Diode (SPAD) array on a top tier.
- Integration with a bottom tier featuring complementary cascoded gating for noise and afterpulsing reduction.
- Fabrication using 110-nm CMOS technology.
- Testing with a 1550nm laser and 3ns gating pulses.
Main Results:
- The sensor successfully generated intensity images and depth maps both indoors and outdoors.
- Achieved accurate ranging up to 100m with better than 2% accuracy.
- Demonstrated robust performance in 120 klux background light conditions.
- Operated with a 1550nm laser across a power range of 100μW to 3.1mW.
Conclusions:
- The presented 3D-stacked flash LiDAR sensor is a significant advancement for SWIR imaging.
- The sensor's performance validates the effectiveness of 3D stacking and advanced pixel-level gating techniques.
- This technology holds promise for next-generation LiDAR systems requiring high accuracy and performance in diverse environments.

