Laser & Optoelectronics Progress, Volume. 61, Issue 15, 1506006(2024)
Few Photon Detection Signal Processing Based on Neural Network
Fig. 1. Schematic diagrams of GM-APD array detection system based on photon counting method.(a) System flow chart; (b) GM-APD array detector received photon coverage distribution diagram; (c) array unit distribution diagram
Fig. 2. Algorithm flow based on time-domain space-domain signal processing. (a) Uniformly distributed signal; (b) Gaussion distribution signal; (c) simulation of the original signal; (d) convolutional layer; (e) activation function; (f) max pooling; (g) fully connected layer
Fig. 3. Matrix dimension expansion calculation method;(a) Raw convolution kernel; (b) row expansion calculation; (c) column expansion calculation; (d) rhombus expansion calculation
Fig. 4. Four-frame echo signal, superimposed signal comparison chart, and log signal-to-noise ratio graph. (a) Single channel reception signal; (b) log signal-to-noise ratio graph; (c) echo signal and frame-by-frame superposition results
Fig. 5. Convolutional kernel processing results for different dimensional expansion methods
Fig. 6. Log signal-to-noise ratio plot for different dimensional expansion methods
Fig. 7. Plots of the results of different standard deviation processing and the change of signal-to-noise ratio
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Heliang Song, Shaobo Li, Huagui Li, Xuchao Liu. Few Photon Detection Signal Processing Based on Neural Network[J]. Laser & Optoelectronics Progress, 2024, 61(15): 1506006
Category: Fiber Optics and Optical Communications
Received: Jul. 17, 2023
Accepted: Sep. 18, 2023
Published Online: Aug. 8, 2024
The Author Email: Xuchao Liu (liuxuchao15@mails.ucas.ac.cn)
CSTR:32186.14.LOP231730