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高分辨波达方位估计技术研究进展

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随着阵列信号处理的广泛应用,波达方位(DOA)估计作为阵列信号处理的核心问题得到较大发展.文中首先对基于均匀线性阵列的窄带目标方位估计中的基于波束形成的传统算法和近 10 年的新兴算法进行了总结.分析了传统波束形成方法分辨力受限的原因,讨论了自适应波束形成方位谱、子空间方法以及压缩感知等更高分辨力的方法;进一步,基于实际应用的需要,总结了宽带目标方位估计方法、基于稀疏阵列的DOA估计方法以及二维DOA估计方法的进展.最后介绍了基于人工智能的方法在DOA方位估计中的新进展.文中的研究可应用于现代雷达声呐探测、无线电通信以及导航中,具有较高的应用价值.
Research Progress in Methods to Estimate High-resolution Direction of Arrival
With the widespread application of array signal processing,the estimation of direction of arrival(DOA)as the core problem of array signal processing has made significant progress.This paper first summarizes the traditional algorithms based on beamforming for narrowband target direction estimation relying on uniform linear arrays and emerging algorithms in the past decade.Then,it analyzes the reasons for the limited resolution of traditional beamforming-based methods and discusses higher-resolution methods such as adaptive beamforming direction spectrum,subspace methods,and compressed sensing.Furthermore,for the needs of practical applications,the paper summarizes the progress of broadband target DOA estimation methods,sparse array-based DOA estimation methods,and two-dimensional DOA estimation methods.Finally,the new advances of artificial intelligence-based methods in DOA estimation are introduced.The research in this paper can be applied to modern radar/sonar detection,radio communication,and navigation,showing high application value.

signal processingdirection of arrivalhigh resolutionbroadbandsparse array

赵唯、李璇、郝程鹏

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中国科学院声学研究所,北京,100190

中国科学院大学电子电气与通信工程学院,北京,100049

信号处理 波达方位 高分辨 宽带 稀疏阵列

2024

水下无人系统学报
中国船舶重工集团公司第七〇五研究所

水下无人系统学报

CSTPCD
影响因子:0.251
ISSN:2096-3920
年,卷(期):2024.32(6)