基于知识的SAR系统目标分类研究

N. S. Martin
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引用次数: 2

摘要

本文提出的基于知识的合成孔径雷达系统方法,考虑了如何利用给定的设备来执行分类功能,而不是为目的提供像照片一样分辨率的图像。研究表明,对多载波中心频率进行抖动可以使SAR波形得到最佳利用。增强的倾斜范围分辨率实现,同时保持相同的模拟到数字转换器带宽和数据存储大小。该系统对大雷达截面积目标的分类能力得到了很大的提高,尽管图像质量有所下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAR systems resolution reviewed for target classification in knowledge-based environment
The knowledge based approach to synthetic aperture radar systems which is presented, considers how to utilise given equipment to perform the classification function, rather than providing an image of photographic like resolution for the purpose. The paper shows that dithering multiple carrier centre frequencies results in optimum use of the SAR waveform. Enhanced slant range resolution is achieved whilst maintaining the same analog to digital convertor bandwidth and data storage size. The system's capacity as a classifier of targets of large radar cross section is greatly improved even though the corresponding image is degraded.<>
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