An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System

Ruihong Lv; Feifeng Liu; Zhanze Wang; Chenghao Wang; Runze Shang; Di Yao

doi:10.1109/ICSPCC55723.2022.9984233

An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System

Ruihong Lv, Feifeng Liu, Zhanze Wang, Chenghao Wang, Runze Shang, Di Yao^*

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.

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/ICSPCC55723.2022.9984233
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

CLEAN
GNSS-based InBSAR
SAR image processing
fake target cancellation

Access to Document

10.1109/ICSPCC55723.2022.9984233

Cite this

Lv, R., Liu, F., Wang, Z., Wang, C., Shang, R., & Yao, D. (2022). An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR 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/ICSPCC55723.2022.9984233

Lv, Ruihong ; Liu, Feifeng ; Wang, Zhanze et al. / An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR 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{f37ef9c8314741a593d7c2e881b0cae9,

title = "An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System",

abstract = "In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.",

keywords = "CLEAN, GNSS-based InBSAR, SAR image processing, fake target cancellation",

author = "Ruihong Lv and Feifeng Liu and Zhanze Wang and Chenghao Wang and Runze Shang and Di Yao",

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/ICSPCC55723.2022.9984233",

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",

}

Lv, R, Liu, F, Wang, Z, Wang, C, Shang, R & Yao, D 2022, An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR 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/ICSPCC55723.2022.9984233

An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System. / Lv, Ruihong; 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 - An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System

AU - Lv, Ruihong

AU - Liu, Feifeng

AU - Wang, Zhanze

AU - Wang, Chenghao

AU - Shang, Runze

AU - Yao, Di

PY - 2022

Y1 - 2022

N2 - In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.

AB - In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.

KW - CLEAN

KW - GNSS-based InBSAR

KW - SAR image processing

KW - fake target cancellation

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U2 - 10.1109/ICSPCC55723.2022.9984233

DO - 10.1109/ICSPCC55723.2022.9984233

M3 - Conference contribution

AN - SCOPUS:85146416963

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 -

Lv R, Liu F, Wang Z, Wang C, Shang R, Yao D. An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR 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/ICSPCC55723.2022.9984233

An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System

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