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PSO-Based Refocusing Algorithm for Frequency Synchronization Error Compensation

delete2024-01-01
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PRE
AI
G
Guangzhao Qian
王
王勇 (Yong Wang) *
H
Hongzhi Li
DOI:10.1109/LGRS.2024.3460734delete
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摘要

摘要

En 中文
Although the bistatic forward-looking synthetic aperture radar (BFSAR) system can realize the imaging of the forward-looking area, the bistatic configuration brings new problems, such as synchronization errors. In this letter, the frequency synchronization error in the BFSAR system is discussed in detail, and its effects on target imaging are presented from theoretical analysis and simulation experiments. In addition, a refocusing algorithm based on the particle swarm optimization (PSO) method is proposed to compensate for the frequency synchronization error. Simulation results verify the feasibility of the proposed algorithm.
Keyword:
Bistatic forward-looking synthetic aperture radar (BFSAR)
frequency synchronization error
minimum entropy
particle swarm optimization (PSO)
Bistatic forward-looking synthetic aperture radar (BFSAR)
frequency synchronization error
minimum entropy
particle swarm optimization (PSO)

期刊

IEEE Geoscience and Remote Sensing Magazine 封面图
IEEE Geoscience and Remote Sensing Magazine
IF:
16.4
论文数:
1.0W
被引数:
5.1K

机构

H
harbin institute of technology
学者数:
8.0W
论文数: 6.6W
被引数: 66
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