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Electronics
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Advances in Array Signal Processing for Diverse Applications
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Advances in Array Signal Processing for Diverse Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 1819

Special Issue Editors

Prof. Dr. Cao Zeng

E-Mail Website
Guest Editor
School of Electronic Engineering, Xidian University, Xi’an, China
Interests: wave diversity array; distributed aperture array; array application
Prof. Dr. Zai Yang

E-Mail Website
Guest Editor
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China
Interests: mathematics of array signal processing; parameter estimation
Prof. Dr. Shidong Li

E-Mail Website
Guest Editor
Department of Mathematics, San Francisco State University, San Francisco, CA, USA
Interests: array geometry optimization; non-linear array processing
Dr. Aifei Liu

E-Mail Website
Guest Editor
1. School of Software, Northwestern Polytechnical University, Xi’an, China
2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150009, China
Interests: array signal processing; intelligent array processing; adaptive signal processing; deep learning and their applications on sonar and radar
Dr. Tiebin Mi

E-Mail Website
Guest Editor
School of Information, Renmin University of China, Beijing, China
Interests: reconfigurable intelligence surface array (RIS array); intelligent array processing; multi-dimensional array signal processing
Prof. Dr. Yougen Xu

E-Mail Website
Guest Editor
Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China
Interests: parameter estimation; adaptive array processing; regularization methods and applications in sensor array signal processing; space-time adaptive processing

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to our upcoming Special Issue, which delves into the dynamic field of array signal processing. With its roots deeply embedded in scientific exploration, this research area plays a pivotal role in various domains, including, but not limited to, automatic driving, communication, radar, navigation, sonar, radio astronomy, biomedicine. The significance of advancements in array signal processing techniques resonate across diverse applications, making it a focal point for cutting-edge research and innovation.

This Special Issue aims to gather a comprehensive collection of research articles and reviews that push the boundaries of array signal processing. Aligned with the scope of our esteemed journal, we seek contributions that explore new forms of arrays, array geometry optimization, adaptive signal processing, intelligent array processing, non-linear array processing and other related themes. The overarching objective of this Special Issue is to assemble a minimum of 10 high-quality articles, paving the way for the potential publication of this Special Issue in book form.

In this Special Issue, we welcome original research articles and reviews exploring various facets of array signal processing. Potential themes include, but are not limited to, array beamforming, array parameter estimation, intelligent array processing, non-linear array processing, multi-dimensional array signal processing, reduced-dimensional array processing, and multi-source array processing. We encourage submissions that convey novel insights, methodologies, or applications to the forefront of array signal processing research.

We look forward to receiving your contributions.

Prof. Dr. Cao Zeng
Prof. Dr. Zai Yang
Prof. Dr. Shidong Li
Dr. Aifei Liu
Dr. Tiebin Mi
Prof. Dr. Yougen Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wave diversity arrays (WDAs)
  • frequency diversity arrays (FDAs)
  • reconfigurable intelligence surface array (RIS array)
  • 4D millimeter wave arrays
  • array waveform design
  • array geometry optimization
  • bi-station/multi-station arrays
  • distributed aperture arrays
  • multi-source array processing
  • intelligent array processing
  • non-linear array processing
  • adaptive signal processing
  • multi-dimensional array signal processing
  • reduced-dimensional array processing
  • polarization estimation
  • DOA, DOD, PDW

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

13 pages, 858 KiB  
Article
Speech Enhancement Algorithm Based on Microphone Array and Multi-Channel Parallel GRU-CNN Network
by Ji Xi, Zhe Xu, Weiqi Zhang, Yue Xie and Li Zhao
Electronics 2025, 14(4), 681; https://doi.org/10.3390/electronics14040681 - 10 Feb 2025
Viewed by 822
Abstract
This paper presents an improved speech enhancement algorithm based on microphone arrays to improve speech enhancement performance in complex settings. The algorithm’s model consists of two key components: the feature extraction module and the speech enhancement module. The feature extraction module processes the [...] Read more.
This paper presents an improved speech enhancement algorithm based on microphone arrays to improve speech enhancement performance in complex settings. The algorithm’s model consists of two key components: the feature extraction module and the speech enhancement module. The feature extraction module processes the speech amplitude spectral features derived from STFT (short-time Fourier transform). It employs parallel GRU-CNN (Gated Recurrent Units and CNN Convolutional Neural Network) structures to capture unique channel information, and skip connections are utilized to enhance the model’s convergence speed. The speech enhancement module focuses on obtaining cross-channel spatial information. By introducing an attention mechanism and applying a global hybrid pooling strategy, it reduces feature loss. This strategy dynamically assigns weights to each channel, emphasizing features that are most beneficial for speech signal restoration. Experimental results on the CHIME3 dataset show that the proposed model effectively suppresses diverse types of noise and outperforms other algorithms in improving speech quality and comprehension. Full article
(This article belongs to the Special Issue Advances in Array Signal Processing for Diverse Applications)
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17 pages, 3016 KiB  
Article
Phase-Only Transmit Beampattern Synthesis Method for Cluttered Environments for Airborne Radar
by Jing Shi, Cao Zeng, Lichu Lai and Jiaqi Zhang
Electronics 2024, 13(23), 4766; https://doi.org/10.3390/electronics13234766 - 2 Dec 2024
Viewed by 602
Abstract
In order to solve the problem of strong downward clutter jamming in airborne radar detection, we propose a phase-only transmit beampattern synthesis method. Firstly, with the aim of minimizing the sidelobe gain in the cluttered region, the desired radiation pattern is constructed by [...] Read more.
In order to solve the problem of strong downward clutter jamming in airborne radar detection, we propose a phase-only transmit beampattern synthesis method. Firstly, with the aim of minimizing the sidelobe gain in the cluttered region, the desired radiation pattern is constructed by using terrain environmental information from where the airborne radar operates. Secondly, an optimization model for phase-only transmit beampattern synthesis accounting for four constraints (the mainlobe gain, the sidelobe gain in the highly cluttered region, the sidelobe gain at other angles, and the amplitude of the weight vector) is established. The Alternating Direction Method of Multipliers (ADMM) is then used to find the iterative solution. Based on the results of four sets of simulation examples designed to verify the effectiveness of the proposed method, it is concluded that the method can reduce the echo intensity in the cluttered region and is suitable for a wide range of array configurations. Full article
(This article belongs to the Special Issue Advances in Array Signal Processing for Diverse Applications)
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