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Evaluation of appropriate sensor specifications for space based ballistic missile detection

机译:基于空间弹道导弹检测的适当传感器规范评估

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The detection and tracking of ballistic missiles (BMs) during launch or cloud break using satellite based electro-optical (EO) sensors is a promising possibility for pre-instructing early warning and fire control radars. However, the successful detection of a BM is depending on the applied infrared (IR)-channel, as emission and reflection of threat and background vary in different spectral (IR-) bands and for different observation scenarios. In addition, the spatial resolution of the satellite based system also conditions the signal-to-clutter-ratio (SCR) and therefore the predictability of the flight path. Generally available satellite images provide data in spectral bands, which are suitable for remote sensing applications and earth surface observations. However, in the fields of BM early warning, these bands are not of interest making the simulation of background data essential. The paper focuses on the analysis of IR-bands suitable for missile detection by trading off the suppression of background signature against threat signal strength. This comprises a radiometric overview of the background radiation in different spectral bands for different climates and seasons as well as for various cloud types and covers. A brief investigation of the BM signature and its trajectory within a threat scenario is presented. Moreover, the influence on the SCR caused by different observation scenarios and varying spatial resolution are pointed out. The paper also introduces the software used for simulating natural background spectral radiance images, MATISSE ("Advanced Modeling of the Earth for Environment and Scenes Simulation") by ONERA [1].
机译:使用基于卫星电光(EO)传感器的发射或云断裂期间的弹道导弹(BMS)的检测和跟踪是预先指导预警和防火雷达的有希望的可能性。然而,BM的成功检测取决于所应用的红外(IR)-Channel,作为威胁的发射和反射和背景在不同的光谱(IR-)频带和不同观察场景中的影响。另外,基于卫星系统的空间分辨率还根据信号到杂波比(SCR),因此条件是飞行路径的可预测性。通常可用的卫星图像提供频谱带中的数据,适用于遥感应用和地球表面观察。然而,在BM预警的字段中,这些频段不受欢迎,使得模拟背景数据是必不可少的。本文侧重于分析适用于导弹检测的IR波段,通过交易抑制背景签名抗威胁信号强度。这包括用于不同气候和季节以及各种云类型和覆盖的不同光谱带中的背景辐射的辐射概述。介绍了威胁情景中BM签名及其轨迹的简要调查。此外,指出了由不同观察场景和不同空间分辨率引起的SCR的影响。本文还介绍了用于模拟自然背景光谱辐射图像的软件,Onera [1]介绍了Matisse(“环境和场景仿真的高级建模”)。

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