In array signal processing, the direction of arrival (DOA) of the signal source has drawn
broad research interests with its wide applications in fields such as sonar, radar …

With the advent of the Internet of Things (IoT) era, the multiunmanned aerial vehicle (UAV)
networks have attracted great attention in the fields of source detection and localization …

In the community of automotive millimeter wave radar, the recently developed concept of
four-dimensional (4D) radar can provide high-resolution point clouds image with enhanced …

Millimeter-wave sensing using automotive radar imposes high requirements on the applied
signal processing in order to obtain the necessary resolution for current imaging radar. High …

Most existing deep learning (DL) based direction-of-arrival (DOA) estimation methods treat
direction finding problem as a multi-label classification task and the output of the neural …

多输入多输出(MIMO) 雷达作为一种新体制雷达, 利用其发射波形分集的特点, 在目标检测,
参数估计, 射频隐身及抗干扰等诸多方面展现出了突出的性能, 经过学者们**20 年的深入研究 …

Direction of arrival (DoA) estimation is a fundamental task in array processing. A popular
family of DoA estimation algorithms are subspace methods, which operate by dividing the …

Recently, deep unfolded networks have been widely utilized in direction of arrival (DOA)
estimation due to the reduced computational complexity and improved estimation accuracy …

In this article, a novel structure of sparse co-prime multiple input multiple output (MIMO)
radar is proposed. The proposed sparse co-prime MIMO radar employs one co-prime planar …

To realize the direction-of-arrivals (DoAs) estimation without the prior information about the
multipath number, a novel method using the deep learning is introduced for the millimeter …