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

doi:10.1109/ICSPCC55723.2022.9984573

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^*

^*Corresponding author for this work

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665469722
DOIs	https://doi.org/10.1109/ICSPCC55723.2022.9984573
Publication status	Published - 2022
Event	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, China Duration: 25 Oct 2022 → 27 Oct 2022

Publication series

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

Conference

Conference	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Country/Territory	China
City	Xi'an
Period	25/10/22 → 27/10/22

Keywords

GNSS-InSAR
calculation
segmented pulse compression

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10.1109/ICSPCC55723.2022.9984573

Cite this

Zhou, J., Liu, F., Wang, Z., Xu, Z., Zhang, S., & Zeng, Z. (2022). A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System. In 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC55723.2022.9984573

Zhou, Jingtian ; Liu, Feifeng ; Wang, Zhanze et al. / A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System. 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022).

@inproceedings{f01ecff45e2d4da1b8cf25971e764dc5,

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

abstract = "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.",

keywords = "GNSS-InSAR, calculation, segmented pulse compression",

author = "Jingtian Zhou and Feifeng Liu and Zhanze Wang and Zhixiang Xu and Shuyao Zhang and Zhangfan Zeng",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 ; Conference date: 25-10-2022 Through 27-10-2022",

year = "2022",

doi = "10.1109/ICSPCC55723.2022.9984573",

language = "English",

series = "2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022",

address = "United States",

}

Zhou, J, Liu, F, Wang, Z, Xu, Z, Zhang, S & Zeng, Z 2022, A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System. in 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022, Xi'an, China, 25/10/22. https://doi.org/10.1109/ICSPCC55723.2022.9984573

A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System. / Zhou, Jingtian; Liu, Feifeng; Wang, Zhanze et al.
2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System

AU - Zhou, Jingtian

AU - Liu, Feifeng

AU - Wang, Zhanze

AU - Xu, Zhixiang

AU - Zhang, Shuyao

AU - Zeng, Zhangfan

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - GNSS-InSAR

KW - calculation

KW - segmented pulse compression

UR - http://www.scopus.com/inward/record.url?scp=85146433448&partnerID=8YFLogxK

U2 - 10.1109/ICSPCC55723.2022.9984573

DO - 10.1109/ICSPCC55723.2022.9984573

M3 - Conference contribution

AN - SCOPUS:85146433448

T3 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

Y2 - 25 October 2022 through 27 October 2022

ER -

Zhou J, Liu F, Wang Z, Xu Z, Zhang S, Zeng Z. A Fast Phase-Preserving Imaging Algorithm based on Segmented Pulse Compression for GNSS-InSAR System. In 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022). doi: 10.1109/ICSPCC55723.2022.9984573

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

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