基于多物理场耦合的空中目标红外探测多参数联合寻优方法
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北京跟踪与通信技术研究所

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TP702

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XXXXX


Multi-physics coupling-based multi-parameter joint optimization technique for aerial target infrared detection
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Beijing Institute of Tracking and Telecommunication Technology,Beijing

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    摘要:

    弱小目标高灵敏度探测是天基红外感知的重要发展方向,而以目标背景辐射特性为驱动的红外探测系统指标体系设计方法是主要突破点之一。以民航飞机为典型的空中目标活跃于对流层上部及平流层底部,在复杂地球背景杂波和大气衰减效应作用下,表现出暗弱多变的辐射特性,对天基红外探测效能提出了极大挑战。针对这一问题,本文提出了一种基于多物理效应耦合的空中目标红外探测系统多参数联合寻优方法。首先,基于目标、背景的光谱辐射特性以及目标-天基探测平台的光谱大气透过率变化特征完成对天空中目标探测谱段的初步优选,并提出了探测灵敏度需求。然后,建立了以目标运动速度限、地球背景限、探测灵敏度为三大边界的系统参数寻优方法,实现了空中目标红外探测指标体系的建立。

    Abstract:

    One of the key areas of advancement in space-based infrared sensing is the high-sensitivity detection of small and weak targets. A major innovation in this regard is the design of the infrared detection system indicator, which is influenced by the characteristics of the target background radiation. The effectiveness of space-based infrared detection is significantly challenged by airborne targets, especially civil aircraft. These targets are active in the upper troposphere and lower stratosphere. They exhibit weak and variable radiation characteristics due to complex background clutter and atmospheric attenuation. Aiming to address this issue, this paper proposes a multi-parameter joint optimization method for an airborne target infrared detection system based on the coupling of multiple physical effects. Firstly, the initial optimization of the target detection spectral band in the sky is completed based on the spectral radiation characteristics of the target, the background, and the spectral atmospheric transmittance change characteristics of the target-sky-based detection platform. Subsequently, the detection sensitivity requirements are proposed. Then, a system parameter optimization method is established with the target motion speed limit, earth background limit, and detection sensitivity as the three major boundaries. This method facilitates the creation of an infrared detection index system for air targets.

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  • 收稿日期:2024-09-18
  • 最后修改日期:2024-10-17
  • 录用日期:2024-10-21
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