A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function

Liang Gui; Yu Hai; Junjie Wu; Zhongyu Li; Jianyu Yang

doi:10.1109/IGARSS46834.2022.9883666

A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function

Liang Gui
, Yu Hai
, Junjie Wu
, Zhongyu Li
, Jianyu Yang

University of Electronic Science and Technology of China

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

2 Scopus citations

Abstract

Airborne ultra-wideband synthetic aperture radar (UWB-SAR) is easily affected by motion error, leading to a decline in image quality. In this paper, a motion error compensation method based on coherent correlation function (CCF) is proposed, which can estimate the high-order components of motion error and reconstruct platform trajectory. Taking the peak sidelobe ratio (PSLR) of CCF as the evaluation function, the particle swarm optimization (PSO) algorithm is used to estimate the high-order components of the trajectory error. Then the trajectory is modified to compensate for the image blur caused by motion error. The effectiveness of the method is verified by numerical simulation.

Original language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2083-2086
Number of pages	4
ISBN (Electronic)	9781665427920
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9883666
State	Published - 2022
Externally published	Yes
Event	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/07/22 → 22/07/22

Keywords

SAR
coherent correlation function
motion error
particle swarm optimization
ultra-wideband (UWB)

Access to Document

10.1109/IGARSS46834.2022.9883666

Cite this

Gui, L., Hai, Y., Wu, J., Li, Z., & Yang, J. (2022). A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 2083-2086). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883666

@inproceedings{f6dfc026661047b78a8b5afa8971bce9,

title = "A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function",

abstract = "Airborne ultra-wideband synthetic aperture radar (UWB-SAR) is easily affected by motion error, leading to a decline in image quality. In this paper, a motion error compensation method based on coherent correlation function (CCF) is proposed, which can estimate the high-order components of motion error and reconstruct platform trajectory. Taking the peak sidelobe ratio (PSLR) of CCF as the evaluation function, the particle swarm optimization (PSO) algorithm is used to estimate the high-order components of the trajectory error. Then the trajectory is modified to compensate for the image blur caused by motion error. The effectiveness of the method is verified by numerical simulation.",

keywords = "SAR, coherent correlation function, motion error, particle swarm optimization, ultra-wideband (UWB)",

author = "Liang Gui and Yu Hai and Junjie Wu and Zhongyu Li and Jianyu Yang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9883666",

language = "英语",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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

pages = "2083--2086",

booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

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Gui, L, Hai, Y, Wu, J, Li, Z & Yang, J 2022, A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function. in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 2083-2086, 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 17/07/22. https://doi.org/10.1109/IGARSS46834.2022.9883666

A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function. / Gui, Liang; Hai, Yu; Wu, Junjie et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2022. p. 2083-2086 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July).

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

TY - GEN

T1 - A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function

AU - Gui, Liang

AU - Hai, Yu

AU - Wu, Junjie

AU - Li, Zhongyu

AU - Yang, Jianyu

PY - 2022

Y1 - 2022

N2 - Airborne ultra-wideband synthetic aperture radar (UWB-SAR) is easily affected by motion error, leading to a decline in image quality. In this paper, a motion error compensation method based on coherent correlation function (CCF) is proposed, which can estimate the high-order components of motion error and reconstruct platform trajectory. Taking the peak sidelobe ratio (PSLR) of CCF as the evaluation function, the particle swarm optimization (PSO) algorithm is used to estimate the high-order components of the trajectory error. Then the trajectory is modified to compensate for the image blur caused by motion error. The effectiveness of the method is verified by numerical simulation.

AB - Airborne ultra-wideband synthetic aperture radar (UWB-SAR) is easily affected by motion error, leading to a decline in image quality. In this paper, a motion error compensation method based on coherent correlation function (CCF) is proposed, which can estimate the high-order components of motion error and reconstruct platform trajectory. Taking the peak sidelobe ratio (PSLR) of CCF as the evaluation function, the particle swarm optimization (PSO) algorithm is used to estimate the high-order components of the trajectory error. Then the trajectory is modified to compensate for the image blur caused by motion error. The effectiveness of the method is verified by numerical simulation.

KW - SAR

KW - coherent correlation function

KW - motion error

KW - particle swarm optimization

KW - ultra-wideband (UWB)

UR - https://www.scopus.com/pages/publications/85140372412

U2 - 10.1109/IGARSS46834.2022.9883666

DO - 10.1109/IGARSS46834.2022.9883666

M3 - 会议稿件

AN - SCOPUS:85140372412

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 2083

EP - 2086

BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022

Y2 - 17 July 2022 through 22 July 2022

ER -

Gui L, Hai Y, Wu J, Li Z, Yang J. A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc. 2022. p. 2083-2086. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS46834.2022.9883666

A Motion Error Estimation Method of UWB-SAR Based on Coherent Correlation Function

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