高分辨波达方位估计技术研究进展  

Research Progress in Methods to Estimate High-resolution Direction of Arrival

作　　者：赵唯 李璇[1,2] 郝程鹏 ZHAO Wei;LI Xuan;HAO Chengpeng(Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;School of Electronic,Electrical andCommunication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院声学研究所,北京100190 [2]中国科学院大学电子电气与通信工程学院,北京100049

出　　处：《水下无人系统学报》2024年第6期1141-1156,共16页Journal of Unmanned Undersea Systems

基　　金：中国科学院声学研究所自主部署“前沿探索”类项目资助(QYTS202013).

摘　　要：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。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.

关 键 词：信号处理 波达方位 高分辨 宽带 稀疏阵列 

分 类 号：TJ630[兵器科学与技术—武器系统与运用工程] U674[交通运输工程—船舶及航道工程]