Applications of Array Signal Processing to Radar and Communications

Dear Colleagues,

Array signal processing has emerged as the backbone of radar and communication systems, and a significant amount of work has been devoted to studying the theories and methodologies of array signal processing for applications in radar and communication. However, achieving further improvements in detection robustness, estimation accuracy, and imaging resolution remains challenging due to increasingly complex electromagnetic environments, featuring aspects such as clutter, jamming, multipath effects, etc. It is important to explore new theories, technologies, and applications to adapt to this situation.

Recently, sparse arrays have received considerable attention in radar and communication systems, due to their ability to provide enlarged array apertures and enhanced degrees-of-freedom (DOFs) compared to traditional uniform array configurations. Additionally, Intelligent Reflecting Surface (IRS) has been introduced into Integrated Sensing and Communication (ISAC) systems, improving communication and sensing quality of service (QoS). Moreover, artificial intelligence (AI)-based methods have been applied in the field of array signal processing to enhance robustness against non-ideal factors.

In order to further promote the innovative development of fundamental theories, technologies, and applications of array and signal processing for radar and communications, this Special Issue aims to provide a platform for researchers to present state-of-the-art investigations in this field. We invite original research articles and comprehensive reviews that address both theoretical advancements and practical applications. Topics of interest include, but are not limited to, the following:

(1) Direction of arrival (DOA) estimation;

(2) Robust Adaptive beamforming;

(3) Sparse array processing;

(4) ISAC sensing and communication;

(5) IRS/Movable antenna-aided radar array and signal processing;

(6) AI for radar and communication signal processing;

(7) Hardware implementation.

Dr. Mingcheng Fu
Dr. Guilu Wu
Guest Editors

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