Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2112001(2024)
Machine Learning Based Laser Ranging Signal Recognition Method for Space Targets
Figures & Tables(10)
Fig. 3. Line graph of binary evaluation indicators changing with the amount of training data. (a) OA; (b) Kappa
Fig. 4. Simulation experiment results. (a) Simulated data; (b) simulated signal; (c) Poisson filtering; (d) edge detection method; (e) proposed method
Fig. 5. First measurement results. (a) Observed data; (b) observed signal; (c) Poisson filtering; (d) edge detection method; (e) proposed method
Fig. 6. Second measurement results. (a) Observed data; (b) observed signal; (c) Poisson filtering; (d) edge detection method; (e) proposed method
Table 1. Feature engineering
View tableTable 1. Feature engineering
Feature name Feature definition time time oc The difference between observation and computation -avg The difference between each point and the mean residual of all points within a 50-second window -p25 The difference between each point and the first quartile of all points within a 50-second window -median The difference between each point and the second quartile of all points within a 50-second window -p75 The difference between each point and the third quartile of all points within a 50-second window
Table 2. Confusion matrix
View tableTable 2. Confusion matrix
Lable Predicted positive Predicted negative Actual positive TP（true positive） FN（false negative） Actual negative FP（false positive） TN（true negative）
Table 3. Simulation results
View tableTable 3. Simulation results
Index Result 1 Result 2 Result 3 Result 4 PF ED RF PF ED RF PF ED RF PF ED RF OA 0.949 0.972 0.984 0.954 0.956 0.971 0.972 0.967 0.983 0.967 0.975 0.989 Kappa 0.907 0.883 0.875 0.883 0.874 0.871 0.880 0.865 0.875 0.886 0.865 0.873 recall_rate 0.342 0.729 0.900 0.571 0.650 0.800 0.757 0.857 0.871 0.657 0.900 0.929 f_rate 0.007 0.011 0.010 0.018 0.028 0.017 0.013 0.025 0.009 0.011 0.020 0.007 Time /s 4.01 3.09 5.22 4.39 3.21 5.56 3.97 3.01 5.24 4.02 3.09 5.25
Table 4. Actual measurement results
View tableTable 4. Actual measurement results
Index Result 1 Result 2 PF ED RF PF ED RF OA 0.978 0.929 0.989 0.933 0.936 0.981 Kappa 0.835 0.795 0.827 0.876 0.828 0.864 recall_rate 0.863 0.863 0.973 0.413 0.827 0.840 f_rate 0.010 0.064 0.010 0.024 0.058 0.004 Time /s 3.93 2.48 4.17 4.02 2.99 4.76
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Yanxin Zheng, Jubo Zhu. Machine Learning Based Laser Ranging Signal Recognition Method for Space Targets[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2112001
Paper Information
Category: Instrumentation, Measurement and Metrology
Received: Dec. 27, 2023
Accepted: Feb. 18, 2024
Published Online: Nov. 13, 2024
The Author Email: Jubo Zhu (zhujubo@mail.sysu.edu.cn)
CSTR:32186.14.LOP232767
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