Novel three-electrode Ge/Si balanced avalanche photodetector for FMCW LiDAR application

Due to the outstanding anti-interference capability against the ambient noise, LiDARs based on frequency-modulated continuous wave (FMCW) technology with high sensitivity and high signal-to-noise ratio (SNR) are essential to achieve ideal photodetection of weak light. To significantly improve the weak light detection performance of balanced photodetectors, this work first demonstrates a novel near-infrared germanium-on-silicon (Ge/Si) avalanche photodetector with a three-electrode balanced scheme. The single three-electrode avalanche photodetector exhibits a high responsivity of >200 A/W near breakdown voltage. The three-electrode balanced avalanche photodetector (3ele-BAPD) achieves a common-mode rejection ratio (CMRR) of 50 dB at an operating wavelength of 1550 nm. We have set up the FMCW coherent detection system. The minimum detectable power of −93 dBm can be achieved, corresponding to an SNR of 3.2 dB and a detection probability of 54%. In comparison, the performance exceeds that of the two-electrode balanced avalanche photodetector (2ele-BAPD), which exhibits a minimum detectable power of −85 dBm with a corresponding SNR of 3.1 dB and a detection probability of 51%. The superior weak light detection performance enables the 3ele-BAPD to accomplish 3D imaging based on the FMCW LiDAR scheme. Moreover, the 3ele-BAPD is also applied to velocity measurement for 4D sensing. The applications of LiDAR velocity measurement and imaging are verified.

Authors

Institutions

Publication Details

Journal
Photonics Research
Published
2025-07-18
DOI
https://doi.org/10.1364/prj.561233
Citations
2
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
2.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel three-electrode Ge/Si balanced avalanche photodetector for FMCW LiDAR application

Junfeng Song, xueyan li, Zihao Zhi, Baisong Chen et al.
2 citations
Photonics Research
Advanced Optical Sensing Technologies
2.38
article

Novel three-electrode Ge/Si balanced avalanche photodetector for FMCW LiDAR application

Junfeng Song, xueyan li, Zihao Zhi, Baisong Chen, Huan Qu, Xiaobin Liu, Xuetong Li, Z. Wang, Jie Li, Weipeng Wang, Xiaolong Hu, heming hu, yingzhi Li
article en
2 citations

Abstract

Due to the outstanding anti-interference capability against the ambient noise, LiDARs based on frequency-modulated continuous wave (FMCW) technology with high sensitivity and high signal-to-noise ratio (SNR) are essential to achieve ideal photodetection of weak light. To significantly improve the weak light detection performance of balanced photodetectors, this work first demonstrates a novel near-infrared germanium-on-silicon (Ge/Si) avalanche photodetector with a three-electrode balanced scheme. The single three-electrode avalanche photodetector exhibits a high responsivity of >200 A/W near breakdown voltage. The three-electrode balanced avalanche photodetector (3ele-BAPD) achieves a common-mode rejection ratio (CMRR) of 50 dB at an operating wavelength of 1550 nm. We have set up the FMCW coherent detection system. The minimum detectable power of −93 dBm can be achieved, corresponding to an SNR of 3.2 dB and a detection probability of 54%. In comparison, the performance exceeds that of the two-electrode balanced avalanche photodetector (2ele-BAPD), which exhibits a minimum detectable power of −85 dBm with a corresponding SNR of 3.1 dB and a detection probability of 51%. The superior weak light detection performance enables the 3ele-BAPD to accomplish 3D imaging based on the FMCW LiDAR scheme. Moreover, the 3ele-BAPD is also applied to velocity measurement for 4D sensing. The applications of LiDAR velocity measurement and imaging are verified.

Photonics ResearchVol. 13(10)
Jilin University (CN), Jilin Medical University (CN), Peng Cheng Laboratory (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced Optical Sensing Technologies
2.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.