Advanced Array Antenna Design and Signal Processing Techniques

Topic Information

Dear Colleagues,

Array antennas and signal processing techniques are of critical importance in modern electronic systems, such as wireless communication system, vehicular system, unmanned aerial system, radar, etc. Firstly, as the front end of an electronic system, an antenna with wide bandwidth, high gain, and compact size is always required to guarantee the high level of system performance. Moreover, a limited and complex electromagnetic environment reserved for an antenna location creates higher requirements for antenna performance. Secondly, signal processing techniques are essential to enhance the desired signal and mitigate nuisance signals, thus improving the system performance. The performance of electronic systems can be further improved by properly utilizing signal processing techniques. The increasing development of radar and communication systems further promotes new technologies in antenna design and array signal processing. A great number of research groups are working on such active and frontier topics. With the in-depth investigations of array antenna, several novel array antenna frameworks are born, including the frequency diverse array, waveform diverse array, massive multiple-input multiple-output array, opportunistic array, and so on. To further promote the innovative development of basic theories and key technologies of antennas and array signal processing techniques, this Special Issue aims to gather the latest advanced research progress in the field of antenna design and array signal processing techniques for various applications, especially for remote sensing. The types of collected papers include academic papers and review articles on the latest technological achievements.

Potential topics include but are not limited to the following:

• Integrated communication and sensing;
• Array signal processing for remote sensing;
• Antenna and array antenna design;
• Wideband/conformal/compact antennas;
• AI-aided antenna design/array antenna synthesis;
• Antenna miniaturization techniques;
• Adaptive digital beamforming;
• Waveform optimization and waveform diversity;
• Target localization and tracking.

Dr. Yanhong Xu
Prof. Dr. Kwai Man Luk
Prof. Dr. Jingwei Xu
Prof. Dr. Warren Paul du Plessis
Dr. Abdul Basit
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.3	2011	18.4 Days	CHF 2400	Submit
Electronics electronics	2.6	5.3	2012	16.4 Days	CHF 2400	Submit
Remote Sensing remotesensing	4.2	8.3	2009	23.9 Days	CHF 2700	Submit
Sensors sensors	3.4	7.3	2001	18.6 Days	CHF 2600	Submit
Signals signals	-	3.2	2020	28.3 Days	CHF 1000	Submit

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Published Papers (2 papers)

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All Applied Sciences Electronics Remote Sensing Sensors Signals

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16 pages, 951 KiB  

Open AccessTechnical Note

Angle and Range Unambiguous Estimation with Nested Frequency Diverse Array MIMO Radars

by Zhengxi Wang, Ximin Li, Shengqi Zhu, Fa Wei and Congfeng Liu

Remote Sens. 2025, 17(3), 446; https://doi.org/10.3390/rs17030446 - 28 Jan 2025

Viewed by 253

Abstract

This paper proposes an unambiguous method for joint angle and range estimation in colocated multiple-input multiple-output (MIMO) radar using the nested frequency diverse array (NFDA). Unlike a conventional phased array (PA), the transmission beampattern of FDA-MIMO radar depends not only on angle but [...] Read more.

This paper proposes an unambiguous method for joint angle and range estimation in colocated multiple-input multiple-output (MIMO) radar using the nested frequency diverse array (NFDA). Unlike a conventional phased array (PA), the transmission beampattern of FDA-MIMO radar depends not only on angle but also on range, which enables the precise identification of ambiguous regions in the two-dimensional frequency space. As a result, we can simultaneously estimate the angle and range of targets using FDA-MIMO radar, even when range ambiguity exists. By employing a nested array configuration, the degrees of freedom (DOFs) of the FDA are expanded. This expansion leads to improved accuracy in parameter estimation and enables a greater number of identifiable targets. In addition, the Cramér–Rao lower bound (CRLB) and the algorithm complexity are obtained to facilitate performance analysis. The simulation outcomes are presented to showcase the superior performance of the suggested approach. Full article

(This article belongs to the Topic Advanced Array Antenna Design and Signal Processing Techniques)

22 pages, 8285 KiB  

Open AccessArticle

Hole-Free Symmetric Complementary Sparse Array Design for High-Precision DOA Estimation

by He Ma, Libao Liu, Zhihong Gan, Yang Gao and Xingpeng Mao

Remote Sens. 2024, 16(24), 4711; https://doi.org/10.3390/rs16244711 - 17 Dec 2024

Viewed by 439

Abstract

Direction of arrival (DOA) estimation plays a critical role in remote sensing, where it aids in identifying and tracking multiple targets across complex environments, from atmospheric monitoring to resource mapping. Leveraging difference covariance array (DCA) for DOA estimation has become prevalent, particularly with [...] Read more.

Direction of arrival (DOA) estimation plays a critical role in remote sensing, where it aids in identifying and tracking multiple targets across complex environments, from atmospheric monitoring to resource mapping. Leveraging difference covariance array (DCA) for DOA estimation has become prevalent, particularly with sparse arrays capable of resolving more targets than the number of sensors. This paper proposes a new hole-free sparse array configuration for remote sensing applications to achieve improved DOA estimation performance using DCA. By symmetrically placing a minimum redundancy array (MRA) and its complementary MRA on both sides of a sparse uniform linear array (ULA), this configuration maximizes degrees of freedom (DOFs) and minimizes mutual coupling effects. Expressions for calculating sensor positions and optimal element allocation methods to maximize DOFs are derived. Simulation experiments in various scenarios have shown the advantages of the proposed array in DOA estimation, including a strong ability to estimate multi-targets, high angular resolution, low estimation error, and strong robustness to mutual coupling. Full article

(This article belongs to the Topic Advanced Array Antenna Design and Signal Processing Techniques)

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