TARGET-ORIENTED COGNITIVE SAR WAVEFORM DESIGN VIA JOINT OPTIMIZATION

Youshan Tan; Min Li; Mingyue Lou; Zhongyu Li; Junjie Wu; Jianyu Yang

doi:10.1109/IGARSS47720.2021.9554831

TARGET-ORIENTED COGNITIVE SAR WAVEFORM DESIGN VIA JOINT OPTIMIZATION

Youshan Tan
, Min Li
, Mingyue Lou
, Zhongyu Li
, Junjie Wu
, Jianyu Yang

University of Electronic Science and Technology of China

Research output: Contribution to conference › Paper › peer-review

Abstract

The clutter background poses a challenge to the detection and recognition of targets from synthetic aperture radar (SAR) images, especially when the target is submerged by the clutter. In this paper, we propose a target-oriented SAR waveform optimization method to deal with this problem. The proposed method constructs an optimization criterion jointing the signal-to-clutter ratio (SCR) and the resolution of transmitted waveform. Based on the prior information of the frequency response of the interested target, the clutter suppression performance and the range resolution performance are jointly optimized. The simulation results show that the proposed method can effectively improve the SCR of SAR image in the condition of low SCR, while the resolution performance is guaranteed.

Original language	English
Pages	4580-4583
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554831
State	Published - 2021
Externally published	Yes
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21

Keywords

SAR
clutter suppression
joint optimization
waveform design

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10.1109/IGARSS47720.2021.9554831

Cite this

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title = "TARGET-ORIENTED COGNITIVE SAR WAVEFORM DESIGN VIA JOINT OPTIMIZATION",

abstract = "The clutter background poses a challenge to the detection and recognition of targets from synthetic aperture radar (SAR) images, especially when the target is submerged by the clutter. In this paper, we propose a target-oriented SAR waveform optimization method to deal with this problem. The proposed method constructs an optimization criterion jointing the signal-to-clutter ratio (SCR) and the resolution of transmitted waveform. Based on the prior information of the frequency response of the interested target, the clutter suppression performance and the range resolution performance are jointly optimized. The simulation results show that the proposed method can effectively improve the SCR of SAR image in the condition of low SCR, while the resolution performance is guaranteed.",

keywords = "SAR, clutter suppression, joint optimization, waveform design",

author = "Youshan Tan and Min Li and Mingyue Lou and Zhongyu Li and Junjie Wu and Jianyu Yang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554831",

language = "英语",

pages = "4580--4583",

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T1 - TARGET-ORIENTED COGNITIVE SAR WAVEFORM DESIGN VIA JOINT OPTIMIZATION

AU - Tan, Youshan

AU - Li, Min

AU - Lou, Mingyue

AU - Li, Zhongyu

AU - Wu, Junjie

AU - Yang, Jianyu

PY - 2021

Y1 - 2021

N2 - The clutter background poses a challenge to the detection and recognition of targets from synthetic aperture radar (SAR) images, especially when the target is submerged by the clutter. In this paper, we propose a target-oriented SAR waveform optimization method to deal with this problem. The proposed method constructs an optimization criterion jointing the signal-to-clutter ratio (SCR) and the resolution of transmitted waveform. Based on the prior information of the frequency response of the interested target, the clutter suppression performance and the range resolution performance are jointly optimized. The simulation results show that the proposed method can effectively improve the SCR of SAR image in the condition of low SCR, while the resolution performance is guaranteed.

AB - The clutter background poses a challenge to the detection and recognition of targets from synthetic aperture radar (SAR) images, especially when the target is submerged by the clutter. In this paper, we propose a target-oriented SAR waveform optimization method to deal with this problem. The proposed method constructs an optimization criterion jointing the signal-to-clutter ratio (SCR) and the resolution of transmitted waveform. Based on the prior information of the frequency response of the interested target, the clutter suppression performance and the range resolution performance are jointly optimized. The simulation results show that the proposed method can effectively improve the SCR of SAR image in the condition of low SCR, while the resolution performance is guaranteed.

KW - SAR

KW - clutter suppression

KW - joint optimization

KW - waveform design

UR - https://www.scopus.com/pages/publications/85129801741

U2 - 10.1109/IGARSS47720.2021.9554831

DO - 10.1109/IGARSS47720.2021.9554831

M3 - 论文

AN - SCOPUS:85129801741

SP - 4580

EP - 4583

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

TARGET-ORIENTED COGNITIVE SAR WAVEFORM DESIGN VIA JOINT OPTIMIZATION

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Conference

Keywords

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