利用模型辅助和关注机制实现宽带二维多输入多输出雷达成像的稀疏解耦成像网络

IF 0.7 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Electronics Letters Pub Date : 2024-08-13 DOI:10.1049/ell2.70000

Shanshan Ding, Zhijin Wen, Yang Liu, Nana Fan

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引用次数: 0

摘要

研究了基于深度学习的稀疏解耦雷达成像方法问题。提出了一种改进的模型驱动学习成像网络，在每个子网络中插入了复值卷积块注意模块。这种方法可以解决稀疏宽带多输入多输出（MIMO）雷达中的高侧叶和耦合问题。此外，它还能更好地聚焦目标区域并捕捉目标信息，从而提高模型表示力。实验结果验证了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Sparse decoupling imaging network for wideband two-dimensional MIMO radar imaging using model-assisted and attention mechanism

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Sparse decoupling imaging network for wideband two-dimensional MIMO radar imaging using model-assisted and attention mechanism

The problem of sparse decoupling radar imaging methods based on deep learning is researched. An improved model-driven learning imaging network with a complex-valued convolution block attention module plugged into each sub-network is proposed. This method can solve the high sidelobe and coupling problem in sparse wideband Multiple-Input Multiple-Output (MIMO) radar. In addition, it can better focus on the target area and capture target information to boost model representation power. Experimental results verify the validity of the proposed method.

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来源期刊

Electronics Letters 工程技术-工程：电子与电气

CiteScore

2.70

自引率

0.00%

发文量

268

审稿时长

3.6 months

期刊介绍： Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO