Detection model and performance evaluation for the infrared search and tracking system

Renke Kou; Chunping Wang; Qiang Fu; Jianjun Zhang; Fuyu Huang

doi:10.1364/AO.469807

Applied Optics
Vol. 62,
Issue 2,
pp. 398-410
(2023)
•https://doi.org/10.1364/AO.469807

Detection model and performance evaluation for the infrared search and tracking system

Renke Kou, Chunping Wang, Qiang Fu, Jianjun Zhang, and Fuyu Huang

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Renke Kou, Chunping Wang, Qiang Fu, Jianjun Zhang, and Fuyu Huang, "Detection model and performance evaluation for the infrared search and tracking system," Appl. Opt. 62, 398-410 (2023)

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Related Topics
Table of Contents Category
- Optical Devices, Sensors, and Detectors
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The topics in this list come from the Optics and Photonics Topics applied to this article.

About this Article
History
- Original Manuscript: July 7, 2022
- Revised Manuscript: October 11, 2022
- Manuscript Accepted: November 23, 2022
- Published: January 4, 2023

Abstract

To effectively evaluate the detection capability of the infrared search and tracking system (IRST), the mathematical models of target infrared (IR) radiation intensity envelope, atmospheric transmittance, and signal-to-noise ratio (SNR) operating range are improved, respectively. Based on the above three models, the IRST performance evaluation simulation system is designed to analyze the optimal detection point and effective detection area under different conditions (such as target speed, detection angle, detection probability, false alarm probability, and operating range). Meanwhile, in order to verify the validity of the model, the range evaluation method of calibration and cross-validation is proposed. And taking the cross-validation method as the baseline, the error of the optimized mathematical model of IRST in this paper is within 10%. The research results are of reference significance for IRST operating range evaluation, design, and use.

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Data availability

Data underlying the results presented in this paper are not publicly avaliable at this time but may be obtatined from the authors upon reasonable request.

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Speed ( $M_{a}$ )	1	1.5	2
Maximum range (Km)	57.75	57.35	62.47
Detection angle	177°/183°	170°/190°	165°/195°

	The Transmittance ( $τ$ ) Slices
No.	0.05	0.1	0.2	0.3	0.4	0.5	0.6	0.7	0.8	0.9	Total $τ$	Test results	$E_{b}$
1	$\sqrt{}$	$\sqrt{}$								$\sqrt{}$	0.0045	Response	-
2	$\sqrt{}$	$\sqrt{}$							$\sqrt{}$		0.0040	Response	-
3-7	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	Response	-
8	$\sqrt{}$	$\sqrt{}$	$\sqrt{}$								0.0010	Response	-
9	$\sqrt{}$	$\sqrt{}$	$\sqrt{}$							$\sqrt{}$	0.0009	No response	2.5802E-06

	10 (km)	8 (km)	5 (km)	3 (km)
Methods Altitudes	Range (Error)	Range (Error)	Range (Error)	Range (Error)
Cross-validation (baseline)	64.73	63.72	47.27	37.39
Optimized model Eq. (40)	69.82 (7.87%)	68.77 (7.93%)	51.52 (8.99%)	40.85 (9.25%)
Pre-optimization model Eq. (26)	75.62 (16.83%)	74.62 (17.11%)	55.75 (17.93%)	44.17 (18.12%)

Speed ( $M_{a}$ )	1	1.5	2
Maximum range (Km)	57.75	57.35	62.47
Detection angle	177°/183°	170°/190°	165°/195°

	The Transmittance ( $τ$ ) Slices
No.	0.05	0.1	0.2	0.3	0.4	0.5	0.6	0.7	0.8	0.9	Total $τ$	Test results	$E_{b}$
1	$\sqrt{}$	$\sqrt{}$								$\sqrt{}$	0.0045	Response	-
2	$\sqrt{}$	$\sqrt{}$							$\sqrt{}$		0.0040	Response	-
3-7	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	$\dots$	Response	-
8	$\sqrt{}$	$\sqrt{}$	$\sqrt{}$								0.0010	Response	-
9	$\sqrt{}$	$\sqrt{}$	$\sqrt{}$							$\sqrt{}$	0.0009	No response	2.5802E-06

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Applied Optics