JOURNAL ARTICLE
Space projectile explosion position calculation method based on curved multi‐lens array sensor.
Published In: Microwave & Optical Technology Letters, 2023, v. 65, n. 3. P. 908 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhang, Xiaoqian; Li, Hanshan 3 of 3
Abstract
In the weapon test range, the space projectile explosion position parameter at the terminal trajectory is an important index to evaluate the damage performance of the projectile fuze. Due to the random distribution of the falling dispersion of the projectile, it is difficult to test the projectile explosion position in the long‐range terminal trajectory falling area. To solve this problem, this paper proposes a method for measuring the projectile explosion position based on ultra‐wide imaging with a multi‐lens array. A curved multi‐lens array optical imaging system is designed and the parameter calculation method of the optical system is presented. The relationship between the space projectile explosion position and the center of the sub‐eye lens and the relationship between the center of the sub‐eye lens and the imaging point of the image sensor is established according to the imaging principle of the optical system. The object image relations of any seven adjacent sub‐eye lenses of the curved multi‐lens array optical imaging system are combined and the calculation model of the space projectile explosion position is deduced. The experimental results verify that the designed curved multi‐lens array optical imaging system and the calculation model of the projectile explosion position proposed in this paper are reasonable. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Microwave & Optical Technology Letters. 2023/03, Vol. 65, Issue 3, p908
- Document Type:Article
- Subject Area:Military History and Science
- Publication Date:2023
- ISSN:0895-2477
- DOI:10.1002/mop.33574
- Accession Number:161725049
- Copyright Statement:Copyright of Microwave & Optical Technology Letters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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