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首页> 外文会议>International Kharkov Symposium Physics and Engineering of Millimeter and Sub-Millimeter Waves >APPLICATION OF KRAVCHENKO WINDOWS IN PROBLEMS OF FORMATION OF THE RADAR SUBSURFACE LAYERS IMAGES BY THE ONBOARD RADAR OF SUBSURFACE SENSING
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APPLICATION OF KRAVCHENKO WINDOWS IN PROBLEMS OF FORMATION OF THE RADAR SUBSURFACE LAYERS IMAGES BY THE ONBOARD RADAR OF SUBSURFACE SENSING

机译：Kravchenko Windows在地下雷达雷达雷达雷达图像形成问题中的应用

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摘要

From the analysis of the literature dedicated subsurface mapping (SM) follows, that the problems SM of air basing are at a stage of developments. So, the majority of the obtained outcomes concerns radars SM of a contact type. From [1,2] it is known, that the obtaining of the subsurface images of fresh ice covers implemented with the help of onboard station "Akvamarin", designed in 70 years of past century school of the professor Finkelstein (Riga). To lacks indicated in [2,3] it is possible to supplement low solving by ability on angular coordinates, usage of sounding "under itself", the narrow bandwidth of the review, is not surveyed a capability of a focusing on a given subsurface layer. In the report is submitted outcomes of the further development of a method of SM offered in [1]. The main attention is given to the analysis of ambiguity functions (AmF), radar signals and field pattern in the antenna with the synthesized aperture, fluidized classical windows and new Kravchenko windows. As a result of a simulation modeling the individual parameters of efficiency and integral parameter of efficiency (IPE) are obtained. Which analysis allows to reveal optimum weight functions used in radar station with the synthesized aperture (RSA) and modulation of radar signals.
机译：根据对文献专用地下映射（SM）的分析，所以空气基础的问题SM处于发展阶段。因此，所获得的成果的大部分涉及接触型的雷达SM。从[1,2]众所周知，从船上站“Akvamarin”的帮助下，在船上的第70岁学校设计的船上的“Akvamarin”的帮助下获得了新鲜冰盖的地下图像。在[2,3]中所示的缺乏，可以通过角度坐标的能力来补充低求解，对审查的狭窄带宽进行声音“自身”的声音，没有调查专注于给定的地下层的能力。在报告中，提交了[1]中提供的SM方法的进一步发展结果。主要注意力分析天线中的模糊函数（AMF），雷达信号和现场图案，具有合成的孔径，流化的古典窗口和新的kravchenko窗口。由于模拟建模，获得了效率的各个参数和效率积分参数（IPE）。哪种分析允许揭示用合成孔径（RSA）和雷达信号的雷达站中使用的最佳重量函数。

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