Simulation of ISAR motion compensation for moving targets based on particle swarm optimization

Cheng Yen Chiang, Yang Lang Chang, Bo Yao Chen, Sina Hadipour, Yi Wen Wang, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In inverse synthetic aperture radar (ISAR) imaging, the imaging results can be affected by the unexpected target motions. This results in a blurry and unrecognizable image. The motion parameters estimation is a compensation method to improve the ISAR image refocusing and quality. In this study, the backscattered echo signals are simulated by the linear geometry system of ISAR moving targets. The entropy of ISAR image is used as a criterion to evaluate the image quality. Furthermore, this entropy measure can be treated as a cost function of the particle swarm optimization (PSO) method and minimized by PSO to improve the quality of ISAR images. The experimental results showed that our proposed PSO motion estimation approach to entropy minimization for ISAR imaging can not only efficiently improve the estimation capability of motion parameters, but also significantly achieve a better performance of ISAR image refocusing.

原文???core.languages.en_GB???
主出版物標題2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2278-2281
頁數4
ISBN(電子)9781538671504
DOIs
出版狀態已出版 - 31 10月 2018
事件38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
持續時間: 22 7月 201827 7月 2018

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
2018-July

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???event.eventtypes.event.conference???38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
國家/地區Spain
城市Valencia
期間22/07/1827/07/18

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