Optimized Quantum Random Number Generator for Single Photon LiDAR Interference Suppression

Single photon light detection and ranging (LiDAR) sensors have been facing serious issues of light interference and optical attacks. Random modulation of transmitted laser can effectively suppress interference and counter attacks. Quantum Random Number Generator (QRNG) based on single photon detection of LiDAR has become an important solution for generating true random numbers. The performance of traditional QRNG based on the parity of counting values of photon events (CntOE-QRNG) is poor under low photon event rate. This letter proposes a novel QRNG method based on parity discrimination of photon event interval (IntOE-QRNG). It is proved that the IntOE-QRNG has more advantages under the condition of low photon event rate. Based on the analysis of the advantages and disadvantages of these two methods, this letter finally proposes an optimized QRNG that combines these two methods to adapt to different photon event rate conditions.

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Publication Details

Journal
IEEE Photonics Technology Letters
Published
2025-03-31
DOI
https://doi.org/10.1109/lpt.2025.3555856
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimized Quantum Random Number Generator for Single Photon LiDAR Interference Suppression

Yunhui Guo, Xing Yang, Lei Zuo, Yuwei Chen et al.
IEEE Photonics Technology Letters
Advanced Optical Sensing Technologies
article

Optimized Quantum Random Number Generator for Single Photon LiDAR Interference Suppression

Yunhui Guo, Xing Yang, Lei Zuo, Yuwei Chen, Yicheng Wang, Hao Pan
article en

Abstract

Single photon light detection and ranging (LiDAR) sensors have been facing serious issues of light interference and optical attacks. Random modulation of transmitted laser can effectively suppress interference and counter attacks. Quantum Random Number Generator (QRNG) based on single photon detection of LiDAR has become an important solution for generating true random numbers. The performance of traditional QRNG based on the parity of counting values of photon events (CntOE-QRNG) is poor under low photon event rate. This letter proposes a novel QRNG method based on parity discrimination of photon event interval (IntOE-QRNG). It is proved that the IntOE-QRNG has more advantages under the condition of low photon event rate. Based on the analysis of the advantages and disadvantages of these two methods, this letter finally proposes an optimized QRNG that combines these two methods to adapt to different photon event rate conditions.

IEEE Photonics Technology LettersVol. 37(9)
National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 93%
Advanced Optical Sensing Technologies
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