| 地面目标红外建模缺失参数反演与模型验证方法 |
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| 引用本文： | 隋钧铖,任登凤,韩玉阁.地面目标红外建模缺失参数反演与模型验证方法[J].红外与激光工程,2022,51(10):20220033-1-20220033-12. |
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| 作者姓名： | 隋钧铖 任登凤 韩玉阁 |
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| 作者单位： | 1.南京理工大学 能源与动力工程学院，江苏 南京 210094 |
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| 摘 要： | 地面目标红外辐射特性建模需要比较完备的参数，针对非合作方目标，许多相关参数较难或者无法通过测试的方法直接获取，参数的缺失给目标红外辐射特性预测带来了很大困难。目标的红外测试数据可以认为是包含所有参数及所处环境在内的信息综合作用的结果，因此可以利用目标的测试数据反演某些重要的缺失参数。针对冷静态目标，首先分析地面目标建模可能的缺失参数，通过调研及专家知识等预估缺失参数取值区间，基于灵敏度理论和正交试验法研究缺失参数对目标特性的影响程度，确定主要缺失参数，包括材料厚度、材料表面太阳吸收率和发射率。然后基于地面目标仿真数据或实测数据，结合共轭梯度法提出地面目标红外建模缺失参数反演与模型验证方法，最后通过两个实例对该方法进行了验证。结果表明:利用该方法反演缺失参数后的典型测点计算温度与实际温度变化特性高度一致，不同时刻的温度数值误差最高不超过2 K。研究表明:该方法具有较好的准确性，未来可推广应用到非合作目标红外建模缺失参数反演与红外辐射特性预测研究中。
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| 关 键 词： | 地面目标 红外辐射特性 缺失参数 反演及验证 |
| 收稿时间： | 2022-01-11 |
Inversion and model validation method of missing parameters in infrared modeling of ground targets |
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| Affiliation: | 1.School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China2.MIIT Key Laboratory of Thermal Control of Electronic Equipment, Nanjing University of Science and Technology, Nanjing 210094, China |
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| Abstract: | The modeling of infrared radiation characteristics of ground targets requires relatively complete parameters. For non-cooperative targets, many related parameters are difficult or cannot be directly obtained by testing methods. The lack of parameters brings great difficulties to the prediction of target infrared radiation characteristics. The infrared test data of the target can be considered as the result of the comprehensive action of information including all parameters and the environment. Therefore, the test data of the target can be used to invert some important missing parameters. For cold static target, the possible missing parameters of ground target modeling are analyzed firstly, and the value ranges of the missing parameters are estimated through research and expert knowledge, etc. Based on the sensitivity theory and orthogonal experiment method, the influences of the missing parameters on target characteristics are studied, and the main missing parameters are determined, including material thickness, solar absorptivity and emissivity of the material surface. Then, based on the ground target simulation test data or measured data, combined with the conjugate gradient method, a method for inversion and model verification of ground target infrared modeling missing parameters is proposed. Finally, two examples are used to verify the method. The results show that the calculated temperature of typical measuring points after inversion of missing parameters using this method is highly consistent with the actual temperature variation characteristics, and the data error of temperature at different times does not exceed 2 K at most. The research shows that the method has good accuracy, and it can be extended and applied to the inversion of missing parameters in the infrared modeling of non-cooperative targets and the prediction of infrared radiation characteristics in the future. |
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