SAR moving target imaging and velocity estimation method using genetic algorithm

Zhongyu Li; Junjie Wu; Zhichao Sun; Yulin Huang; Haiguang Yang; Jianyu Yang

doi:10.1109/IGARSS.2016.7730314

SAR moving target imaging and velocity estimation method using genetic algorithm

Zhongyu Li
, Junjie Wu
, Zhichao Sun
, Yulin Huang
, Haiguang Yang
, Jianyu Yang

University of Electronic Science and Technology of China

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

Abstract

In this paper, SAR MT imaging and velocity estimation method is proposed. The validity of this method is verified by numerical simulations. The main idea behind this method is to transform the PE problem to be a SOP problem. The advantages of this method include two main aspects: (i) This method can handle the MT imaging problem for different SAR modes, such as mono-static SAR, bistatic SAR, etc.; (ii) Both the along-track and cross-track velocities of theMT can be simultaneously estimated. In addition, since the focusing processing is conducted in 2D spectrum domain and the opti- mal criterion is the local minimum entropy, this method don't need to find a dominated point scatterer during the process.

Original language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5039-5042
Number of pages	4
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7730314
State	Published - 1 Nov 2016
Externally published	Yes
Event	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2016-November

Conference

Conference	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16

Keywords

SAR
differential evolution
moving target
optimization problem
velocity estimation

Access to Document

10.1109/IGARSS.2016.7730314

Cite this

Li, Z., Wu, J., Sun, Z., Huang, Y., Yang, H., & Yang, J. (2016). SAR moving target imaging and velocity estimation method using genetic algorithm. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (pp. 5039-5042). Article 7730314 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7730314

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title = "SAR moving target imaging and velocity estimation method using genetic algorithm",

abstract = "In this paper, SAR MT imaging and velocity estimation method is proposed. The validity of this method is verified by numerical simulations. The main idea behind this method is to transform the PE problem to be a SOP problem. The advantages of this method include two main aspects: (i) This method can handle the MT imaging problem for different SAR modes, such as mono-static SAR, bistatic SAR, etc.; (ii) Both the along-track and cross-track velocities of theMT can be simultaneously estimated. In addition, since the focusing processing is conducted in 2D spectrum domain and the opti- mal criterion is the local minimum entropy, this method don't need to find a dominated point scatterer during the process.",

keywords = "SAR, differential evolution, moving target, optimization problem, velocity estimation",

author = "Zhongyu Li and Junjie Wu and Zhichao Sun and Yulin Huang and Haiguang Yang and Jianyu Yang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

year = "2016",

month = nov,

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doi = "10.1109/IGARSS.2016.7730314",

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

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Li, Z, Wu, J, Sun, Z, Huang, Y, Yang, H & Yang, J 2016, SAR moving target imaging and velocity estimation method using genetic algorithm. in 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings., 7730314, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., pp. 5039-5042, 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7730314

SAR moving target imaging and velocity estimation method using genetic algorithm. / Li, Zhongyu; Wu, Junjie; Sun, Zhichao et al.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 5039-5042 7730314 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November).

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

TY - GEN

T1 - SAR moving target imaging and velocity estimation method using genetic algorithm

AU - Li, Zhongyu

AU - Wu, Junjie

AU - Sun, Zhichao

AU - Huang, Yulin

AU - Yang, Haiguang

AU - Yang, Jianyu

PY - 2016/11/1

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N2 - In this paper, SAR MT imaging and velocity estimation method is proposed. The validity of this method is verified by numerical simulations. The main idea behind this method is to transform the PE problem to be a SOP problem. The advantages of this method include two main aspects: (i) This method can handle the MT imaging problem for different SAR modes, such as mono-static SAR, bistatic SAR, etc.; (ii) Both the along-track and cross-track velocities of theMT can be simultaneously estimated. In addition, since the focusing processing is conducted in 2D spectrum domain and the opti- mal criterion is the local minimum entropy, this method don't need to find a dominated point scatterer during the process.

AB - In this paper, SAR MT imaging and velocity estimation method is proposed. The validity of this method is verified by numerical simulations. The main idea behind this method is to transform the PE problem to be a SOP problem. The advantages of this method include two main aspects: (i) This method can handle the MT imaging problem for different SAR modes, such as mono-static SAR, bistatic SAR, etc.; (ii) Both the along-track and cross-track velocities of theMT can be simultaneously estimated. In addition, since the focusing processing is conducted in 2D spectrum domain and the opti- mal criterion is the local minimum entropy, this method don't need to find a dominated point scatterer during the process.

KW - SAR

KW - differential evolution

KW - moving target

KW - optimization problem

KW - velocity estimation

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M3 - 会议稿件

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EP - 5042

BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Li Z, Wu J, Sun Z, Huang Y, Yang H, Yang J. SAR moving target imaging and velocity estimation method using genetic algorithm. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 5039-5042. 7730314. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2016.7730314

SAR moving target imaging and velocity estimation method using genetic algorithm

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