四象限超导纳米线单光子探测器光斑定位精度研究
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1.紫金山实验室;2.南京大学;3.北京长城计量测试技术研究所;4.中国空间技术研究院通信与导航卫星总体部

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TB96;TH741

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航空科学基金,国家自然科学基金项目(面上项目,重点项目,重大项目),江苏省自然科学基金


Research on the Localization Accuracy of Spot for Four-Quadrant SNSPDs
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1.Purple Mountain Laboratories;2.Nanjing University;3.Changcheng Institute of Metrology &4.Measurement;5.Institute of Telecommunication and Navigation Satellites

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    摘要:

    四象限超导纳米线单光子探测器(QD-SNSPD)通过测量光斑在四个象限中的光子计数差异,实现高精度、快速的光斑定位,在深空激光通信、微弱信号探测等前沿领域具有重要价值。然而,SNSPD的恢复时间效应将在高计数率下引入光斑定位误差;适用于低信噪比条件的光斑定位方法需进一步研究。结合SNSPD的恢复时间特性,引入了计数值非线性校正机制,推导了校正后的高斯模型光斑定位方法。针对低信噪比条件下正负半轴的差值降低的问题,提出了非整数次幂运算的光斑定位方法。研究结果表明,高计数率下计数值校正可提升光斑定位的准确性,低信噪比下非整数次幂运算可有效降低定位误差。相较经典的正负半轴差值定位法,当信噪比<10时,采用1.4次幂运算可将定位误差减少27%;当信噪比>50时,采用计数值校正的高斯模型可将定位误差减少70%。当光子计数值>10^4时,定位标准差可<0.01光斑半径。研究内容对于实现QD-SNSPD高精度的光斑定位与方法择优具有重要意义。

    Abstract:

    The Four-Quadrant Superconducting Nanowire Single-Photon Detector (QD-SNSPD) enables high-precision and rapid spot localization by measuring photon count differences across its four quadrants, showing great potential in deep-space laser communication and weak target detection. However, the recovery time effect of SNSPD introduces errors under high count rates, and spot localization under low signal-to-noise ratio (SNR) remains challenging. This study introduces a nonlinear count correction mechanism based on SNSPD recovery characteristics and derives a corrected Gaussian model for spot localization. To mitigate signal reduction on positive and negative half-axes in low-SNR environments, a non-integer power operation method is proposed. Simulations and experiments demonstrate improved accuracy with count correction at high count rates and reduced localization errors using the power operation under low SNR. Compared to classical half-axis differential localization, the 1.4-power operation reduces error by 27% at SNR < 10, while the corrected Gaussian model achieves a 70% error reduction at SNR > 50. Positioning standard deviation <0.01 spot radius can be achieved when photon counts exceed 10?.These findings provide valuable insights into high-precision spot localization and method selection for QD-SNSPD.

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  • 收稿日期:2025-09-10
  • 最后修改日期:2025-10-21
  • 录用日期:2025-11-12
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