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A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs

机译:一种新的距离压缩算法用于提高GNSS-SAR的分辨率

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摘要

In this paper, a novel range compression algorithm for enhancing range resolutions of a passive Global Navigation Satellite System-based Synthetic Aperture Radar (GNSS-SAR) is proposed. In the proposed algorithm, within each azimuth bin, firstly range compression is carried out by correlating a reflected GNSS intermediate frequency (IF) signal with a synchronized direct GNSS base-band signal in the range domain. Thereafter, spectrum equalization is applied to the compressed results for suppressing side lobes to obtain a final range-compressed signal. Both theoretical analysis and simulation results have demonstrated that significant range resolution improvement in GNSS-SAR images can be achieved by the proposed range compression algorithm, compared to the conventional range compression algorithm.
机译:本文提出了一种新的距离压缩算法,用于增强基于全球导航卫星系统的无源合成孔径雷达(GNSS-SAR)的距离分辨率。在提出的算法中,首先在每个方位角区域内,通过将反射的GNSS中频(IF)信号与范围域中的同步直接GNSS基带信号相关来进行距离压缩。此后,将频谱均衡应用于压缩结果以抑制旁瓣以获得最终的距离压缩信号。理论分析和仿真结果均表明,与传统的距离压缩算法相比,所提出的距离压缩算法可以显着提高GNSS-SAR图像的距离分辨率。

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