A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System

Jingtian Zhou, Feifeng Liu, Zhanze Wang, Zhixiang Xu, Shuyao Zhang, Zhangfan Zeng*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In GNSS-based InSAR systems, in order to obtain high azimuth resolution, more than 600s data need to be acquired, which results in large data amount. In this paper, a fast phase-preserving imaging algorithm based on segmented pulse compression is proposed to reduce calculation of GNSS-InSAR system. First, a segment echo signal processing model is established based on bistatic configuration. Then, calculation complex of pulse compression is reduced through data segments along range direction. Finally, pulse compression result for imaging is obtained by summing the segment result and image result is obtained by back projection algorithm. Raw data results suggest the effectiveness of the fast phase-preserving imaging algorithm.

源语言英语
主期刊名2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665469722
DOI
出版状态已出版 - 2022
活动2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, 中国
期限: 25 10月 202227 10月 2022

出版系列

姓名2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

会议

会议2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
国家/地区中国
Xi'an
时期25/10/2227/10/22

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