采用测距-多普勒稀疏正则化的汽车 FMCW 雷达的干扰缓解和目标检测

IF 7.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Science China Information Sciences Pub Date : 2024-08-16 DOI:10.1007/s11432-024-4110-4

Yan Huang, Yunxuan Wang, Xiao Zhou, Hui Zhang, Yuan Mao, Guisheng Liao, Wei Hong

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引用次数: 0

摘要

在这项研究中，我们对接收到的目标回波和相互干扰的信号特征进行了严格分析。然后，我们考虑了强相互干扰在时域中的低秩特性，以及目标在 RD 域中的稀疏性。然后，我们介绍了一种基于 RD 稀疏正则化的新方法，用于汽车雷达的干扰缓解、目标检测和三维参数（距离、速度和方向）估算。详细的迭代偏差和实验模拟见附录 B。

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Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization

In this study, we conducted a rigorous analysis of the signal characteristics of both the received echoes of targets and mutual interference. We then considered the low-rank property of strong mutual interference in the time domain, alongside the sparsity of targets within the RD domain. We then introduced a novel method predicated on RD sparse regularization for interference mitigation, target detection, and the estimation of three-dimensional parameters (range, velocity, and direction) for automotive radars. Detailed iteration deviation and experiment simulation can be found in Appendix B.

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来源期刊

Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

12.60

自引率

5.70%

发文量

224

审稿时长

8.3 months

期刊介绍： Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.