• Acta Optica Sinica
  • Vol. 39, Issue 3, 0304002 (2019)
Fang Wang1、*, Tian Kou1, Renke Kou2, and Haiyan Wang1
Author Affiliations
  • 1 Aeronautics Engineering College, Air Force Engineering University, Xi'an, Shanxi 710038, China
  • 2 Unit 95084 of PLA, Foshan, Guangdong 528226, China
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    DOI: 10.3788/AOS201939.0304002 Cite this Article Set citation alerts
    Fang Wang, Tian Kou, Renke Kou, Haiyan Wang. Detection Probability Envelope of Airborne IRST System after Variable Threshold Noise Ratio Optimization[J]. Acta Optica Sinica, 2019, 39(3): 0304002 Copy Citation Text show less
    Distribution of false alarm probability with different threshold noise ratio. (a) 0-4; (b) 5-6; (7) 6-7; (d) 12-13
    Fig. 1. Distribution of false alarm probability with different threshold noise ratio. (a) 0-4; (b) 5-6; (7) 6-7; (d) 12-13
    Distributions of noise probability and signal plus noise probability
    Fig. 2. Distributions of noise probability and signal plus noise probability
    Detection probability versus detection range
    Fig. 3. Detection probability versus detection range
    Detection probability versus target speed
    Fig. 4. Detection probability versus target speed
    Detection probability versus atmospheric transmissivity
    Fig. 5. Detection probability versus atmospheric transmissivity
    Flow chart of range solution of threshold noise ratio based on detection distance
    Fig. 6. Flow chart of range solution of threshold noise ratio based on detection distance
    Threshold noise ratio versus detection range
    Fig. 7. Threshold noise ratio versus detection range
    Threshold noise ratio versus target speed
    Fig. 8. Threshold noise ratio versus target speed
    Threshold noise ratio versus atmospheric transmissivity
    Fig. 9. Threshold noise ratio versus atmospheric transmissivity
    Detection distance envelope
    Fig. 10. Detection distance envelope
    Detection probability envelope
    Fig. 11. Detection probability envelope
    Detection probability envelope under variable or constant threshold noise ratio
    Fig. 12. Detection probability envelope under variable or constant threshold noise ratio
    τoΔf /Hzf /mmFωδD0 /mmλ /μm
    0.810340021.5°×1.0°0.92003-5
    Table 1. Parameters of IRST system
    R /kmRTNRPdPfa
    10-286.80.8-110-10
    29-503-6.40.82.8×10-10-0.008
    51-10030.1-0.780.01
    Table 2. Values of threshold noise ratio at different detection ranges
    Vm /MaRTNRPdPfa
    0-2.830.05-0.780.01
    2.9-3.53.4-70.82.7×10-9-0.003
    3.6-56.80.85-10.00001
    Table 3. Values of threshold noise ratio under different object speeds
    τRTNRPdPfa
    0-0.5830.02-0.790.01
    0.59-13-4.20.80.0001-0.0095
    Table 4. Values of threshold noise ratio with different atmospheric transmissivity
    Fang Wang, Tian Kou, Renke Kou, Haiyan Wang. Detection Probability Envelope of Airborne IRST System after Variable Threshold Noise Ratio Optimization[J]. Acta Optica Sinica, 2019, 39(3): 0304002
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