{"title":"Integrated Waveguide Bridge Balanced Photodetector with High Common‐Mode Rejection Ratio for FMCW LiDAR","authors":"Xuetong Li, Baisong Chen, Huan Qu, Xianqi Pang, Ziming Wang, Yingzhi Li, Zihao Zhi, Heming Hu, Jie Li, Weipeng Wang, Xiaolong Hu, Xueyan Li, Qijie Xie, Quanxin Na, Guoqiang Lo, Junfeng Song","doi":"10.1002/lpor.202402233","DOIUrl":null,"url":null,"abstract":"Recently, light detecting and ranging (LiDAR) technology has gained significant attention due to its wide‐ranging applications, particularly in 3D terrain mapping, atmospheric measurement, and autonomous driving. Most commercially available LiDAR systems employ mechanical beam steering, which presents limitations such as slower scanning speeds, lower reliability, and larger device size. In contrast, solid‐state LiDAR is emerging as a viable alternative, offering enhanced performance and integration potential. Among the various techniques, frequency‐modulated continuous wave (FMCW) LiDAR stands out, especially for its suitability in velocity measurements and its compatibility with silicon‐based integration. This work introduces a new bridge‐balanced photodetector (Bridge‐BPD) for enhanced performance in FMCW LiDAR systems. By integrating optical couplers and Germanium‐Silicon photodetectors (Ge/Si PDs), this BPD improves the common‐mode rejection ratio (CMRR) by up to 12.8 dB compared to traditional methods, achieving 45.8 dB at a wavelength of 1550 nm. With FMCW LiDAR systems, high detection sensitivity is demonstrated and a detection probability of 90% at −98 dBm. This novel BPD offers results comparable to commercial InP‐based detectors, paving the way for further optoelectronic integration in LiDAR applications.","PeriodicalId":204,"journal":{"name":"Laser & Photonics Reviews","volume":"241 1","pages":""},"PeriodicalIF":9.8000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laser & Photonics Reviews","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1002/lpor.202402233","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, light detecting and ranging (LiDAR) technology has gained significant attention due to its wide‐ranging applications, particularly in 3D terrain mapping, atmospheric measurement, and autonomous driving. Most commercially available LiDAR systems employ mechanical beam steering, which presents limitations such as slower scanning speeds, lower reliability, and larger device size. In contrast, solid‐state LiDAR is emerging as a viable alternative, offering enhanced performance and integration potential. Among the various techniques, frequency‐modulated continuous wave (FMCW) LiDAR stands out, especially for its suitability in velocity measurements and its compatibility with silicon‐based integration. This work introduces a new bridge‐balanced photodetector (Bridge‐BPD) for enhanced performance in FMCW LiDAR systems. By integrating optical couplers and Germanium‐Silicon photodetectors (Ge/Si PDs), this BPD improves the common‐mode rejection ratio (CMRR) by up to 12.8 dB compared to traditional methods, achieving 45.8 dB at a wavelength of 1550 nm. With FMCW LiDAR systems, high detection sensitivity is demonstrated and a detection probability of 90% at −98 dBm. This novel BPD offers results comparable to commercial InP‐based detectors, paving the way for further optoelectronic integration in LiDAR applications.
期刊介绍:
Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications.
As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics.
The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.