暂时干扰切除和频谱重建与部分样本使用修改的交替方向方法的乘法器-网对超视界雷达的超视界雷达
Zhang Man1,2, Quan Huang3, Jia Duan3
1School of Electronic and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究引入了一种新的ADMM-Net,用于重建超视界雷达 (OTHR) 信号,改善目标检测. 该方法有效地从稀疏的OTHR数据中重建多普勒光谱,克服干扰挑战.
科学领域:
- 雷达系统工程 雷达系统工程
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 超视界雷达 (OTHR) 面临的挑战是短暂干扰和稀疏的回声数据,降低了目标检测.
- 对于稀疏的OTHR信号的传统方法会产生格叶,进一步降低性能.
- 从海到空的多目标检测加剧了现代OTHR系统中的数据稀疏性.
研究的目的:
- 从稀疏的OTHR信号中重建目标和杂乱光谱的强有力的方法.
- 通过解决信号稀疏性和干扰,提高OTHR目标检测的性能.
- 为了提高OTHR信号频谱重建的准确性和效率.
主要方法:
- 拟用于频谱重建的多变器网络 (ADMM-Net) 的修改的交替方向方法.
- 暂时干扰是使用稀疏基础表示来识别的,随后被删除.
- 使用训练网络来重建完整的多普勒光谱,解决了多普勒稀疏性受约束优化.
主要成果:
- 拟议的ADMM-Net有效地重建了用于OTHR目标检测的多普勒光谱.
- 该方法成功地识别和删除短暂干扰,产生处理的稀疏OTHR信号.
- 与传统方法相比,该方法在OTHR信号频谱重建中的效率和准确性之间取得了平衡.
结论:
- 修改后的ADMM-Net在重建稀疏的OTHR信号方面取得了重大进展,以改进目标检测.
- 该方法的有效性通过模拟和真实测量的OTHR数据来验证.
- 这种方法为在复杂环境中增强OTHR能力提供了一个有希望的解决方案.
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