MIMO Radar Fast Imaging Algorithm Based on Sub-image Combination

Congrong Han, Weiming Tian, Hongyan Mei

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Multi-Input Multiple-Output (MIMO) radar has the advantages of good portability and high image frame rate. And it also has broad application prospects in monitoring geological disaster warnings such as landslides. In wide-angle, and large depth scenes, traditional algorithms are slower to image. Therefore, this paper proposes a kind of MIMO radar imaging algorithm based on sub-image coherent combination, which can realize fast processing of MIMO radar data. By modeling MIMO echo, phase center approximation compensations, sub-aperture imaging and coherent superposition of sub-image, the two-dimensional imaging results are finally obtained. Finally, the algorithm is verified by the simulation and real data, which proves the accuracy of the imaging and the effectiveness of the algorithm.

源语言英语
主期刊名2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728129129
DOI
出版状态已出版 - 11月 2019
活动6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 - Xiamen, 中国
期限: 26 11月 201929 11月 2019

出版系列

姓名2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

会议

会议6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
国家/地区中国
Xiamen
时期26/11/1929/11/19

指纹

探究 'MIMO Radar Fast Imaging Algorithm Based on Sub-image Combination' 的科研主题。它们共同构成独一无二的指纹。

引用此