Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.1
2.6
Journals
Electronics
Special Issues
Advances in MIMO Radar: Signal Processing, Algorithms, and Applications
share announcement

Advances in MIMO Radar: Signal Processing, Algorithms, and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 690

Special Issue Editors

Dr. Kai Zhong

E-Mail
Guest Editor
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: MIMO radar systems
Prof. Dr. Jinfeng Hu

E-Mail Website
Guest Editor
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: ground-penetrating radar; secure communication; random signal radar; skywave radar; MIMO radar; array signal processing; time-difference positioning
Special Issues, Collections and Topics in MDPI journals
Dr. Tao Fan

E-Mail
Guest Editor
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: satellite communication systems; LEO satellite network
Dr. Zhou Xu

E-Mail Website
Guest Editor
College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
Interests: radar signal processing
Dr. Mingcheng Fu

E-Mail Website
Guest Editor
School of Information and Communication Engineering, Hainan University, Haikou 570228, China
Interests: direction-of-arrival estimation; signal processing algorithms; array signal processing; covariance matrices; interpolation

Special Issue Information

Dear Colleagues,

Multiple-Input Multiple-Output (MIMO) radar technology has emerged as a cornerstone of modern sensing systems, offering significant advantages over traditional phased-array radars. By employing multiple orthogonal waveforms, MIMO radar provides increased degrees of freedom, enhanced spatial resolution, and superior interference suppression capabilities. These features have made it indispensable in an era where high-precision detection and tracking are required across increasingly complex environments.

The evolution of MIMO radar is currently driving breakthroughs in diverse fields. In automotive safety, MIMO configurations enable high-resolution imaging for autonomous driving and collision avoidance. In defense and security, it facilitates the detection of low-observable targets through improved diversity gain. Furthermore, the integration of MIMO radar with emerging paradigms such as Integrated Sensing and Communication (ISAC) and Cognitive Radar is paving the way for the next generation of intelligent sensing networks.

Despite its potential, several challenges remain in the practical implementation of MIMO systems. These include the design of radar waveforms, the development of computationally efficient parameter estimation algorithms, and the management of massive data throughput in real-time applications. As hardware continues to shrink and frequency bands move toward mm-Wave and Terahertz, the need for robust signal processing frameworks becomes even more critical.

This Special Issue aims to provide a platform for researchers to present state-of-the-art investigations in MIMO radar. 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. Waveform design and optimization;
  2. Target detection and tracking;
  3. Direction of arrival (DOA) estimation;
  4. Distributed and coherent MIMO;
  5. Integrated sensing and communication;
  6. Deep learning for MIMO;
  7. MIMO radar for autonomous systems;
  8. RIS/Movable antenna-aided MIMO;
  9. Anti-jamming and electronic countermeasures;
  10. Hardware implementation.

Dr. Kai Zhong
Prof. Dr. Jinfeng Hu
Dr. Tao Fan
Dr. Zhou Xu
Dr. Mingcheng Fu
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 250 words) can be sent to the Editorial Office for assessment.

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

  • MIMO radar
  • signal processing
  • waveform design
  • ISAC
  • deep learning

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 550 KB  
Article
Codesign of Unimodular Waveform and Receive Filter for MIMO Radar Extended Target Detection Under Suppression Jamming
by Jie Wu, Haitao Jia, Yipeng Zhong, Xinnan Liu, Rongchang Liang and Minping Wu
Electronics 2026, 15(7), 1349; https://doi.org/10.3390/electronics15071349 - 24 Mar 2026
Viewed by 270
Abstract
The joint design of unimodular waveforms and receive filters is a pivotal technology in Multiple-Input Multiple-Output (MIMO) radar systems. However, most existing methods primarily focus on point target detection or ignore the impact of active jamming in extended target scenarios. To bridge this [...] Read more.
The joint design of unimodular waveforms and receive filters is a pivotal technology in Multiple-Input Multiple-Output (MIMO) radar systems. However, most existing methods primarily focus on point target detection or ignore the impact of active jamming in extended target scenarios. To bridge this gap, this paper proposes an optimization framework for the joint design of unimodular waveforms and receive filters specifically for MIMO radar extended target detection in the presence of suppressive jamming. The problem is formulated to maximize the Signal-to-Interference-plus-Noise Ratio (SINR) while strictly satisfying the unimodular constraint and mitigating suppressive jamming. Due to the non-convexity of the unimodular constraint and the quadratic fractional nature of the SINR objective function, the optimization problem is highly challenging. Unlike conventional methods that rely on convex relaxation—which often leads to performance degradation—we exploit the geometric structure of the constraint set. Specifically, the unimodular constraints are modeled using complex circle manifolds, and the suppressive jamming suppression requirements are integrated into the objective function via a smooth penalty metric. Building on these characteristics, a Product Complex Circle Euclidean Manifold (PCCEM) method is developed. This approach transforms the constrained problem into an unconstrained optimization task on a product manifold, which is then efficiently solved using the limited-memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) algorithm. Simulation results demonstrate that the proposed PCCEM method outperforms baseline algorithms in terms of computational efficiency, output SINR, and the depth of the formed jamming notches. Full article
(This article belongs to the Special Issue Advances in MIMO Radar: Signal Processing, Algorithms, and Applications)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop