一种用于增强GNSS-SAR分辨率的新型距离压缩算法。

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

作者信息

Zheng Yu, Yang Yang, Chen Wu

机构信息

Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.

出版信息

Sensors (Basel). 2017 Jun 25;17(7):1496. doi: 10.3390/s17071496.

DOI:10.3390/s17071496

PMID:28672830

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539786/

Abstract

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.

摘要

本文提出了一种用于提高基于无源全球导航卫星系统的合成孔径雷达（GNSS-SAR）距离分辨率的新型距离压缩算法。在所提出的算法中，在每个方位向单元内，首先通过在距离域中将反射的GNSS中频（IF）信号与同步的直接GNSS基带信号进行相关来进行距离压缩。此后，对压缩结果应用频谱均衡以抑制旁瓣，从而获得最终的距离压缩信号。理论分析和仿真结果均表明，与传统距离压缩算法相比，所提出的距离压缩算法可显著提高GNSS-SAR图像的距离分辨率。