Recent Advances in Electronic Warfare Networks and Scenarios Ⅱ

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 December 2021) | Viewed by 6630

Special Issue Editors


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Communications and Sensor Networks Lab., Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
Interests: interdisciplinary engineering; wireless communications; underwater communications and networks; acoustic system design
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Guest Editor
Dept. of Aerospace Eng., Sejong University, 209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, Korea
Interests: large-scale system engineering; ICT–aerospace interdisciplinary engineering; engineering M&S and applications; military systems and simulations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electronic warfare (EW) refers to any action involving the use of the electromagnetic spectrum or directed energy to sense, process, command, and control the spectrum. The proliferation of emerging EW technology (e.g., network jamming, superb antijamming communications, and cooperative engagement technologies) enables global-scale scenarios and demands new and effective actions over the electromagnetic spectrum and networks. Subsequently, there are many results on cross-layer investigations, interdisciplinary collaborations, and various levels of modeling with simulations.

The aim of this Special Issue is to invite papers on recent advances and the inherent challenges in EW systems, networks and scenarios, as well as to exploit the new results and expand on the state-of-the-art.

We expect that the Special Issue will trigger further related research and technology improvements, not only in this important field, but also in other areas, including modeling and simulations (M&S) in military communications and covert communications. Potential topics of the Special Issue include but are not limited to the following:

  • Emerging surveillance techniques using active and passive sensing;
  • Energy harvesting sensors for reconnaissance and surveillance;
  • M&S in EW for tactical/long-range communications and networks;
  • Secure and robust communications in the presence of passive and active attacks;
  • M&S of counter measures against advanced networked and agile systems;
  • M&S of distributed EW systems providing asymmetric capabilities;
  • Emerging systems concepts and advanced technologies of EW;
  • Innovative concepts of physical and network solutions for EW;
  • M&S of global, multidimensional distributed EW systems;
  • Defense engineering of time, frequency, and position information.

Prof. Dr. Kiseon Kim
Prof. Dr. Sugjoon Yoon
Guest Editors

Manuscript Submission Information

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Keywords

  • Electronic warfare
  • Covert communications and networks
  • Defense systems
  • Sensors for reconnaissance and surveillance
  • Multidimensional distributed systems

Published Papers (3 papers)

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28 pages, 3596 KiB  
Article
Covert Anti-Jamming Communication Based on Gaussian Coded Modulation
by Haeung Choi, Sangjun Park and Heung-No Lee
Appl. Sci. 2021, 11(9), 3759; https://doi.org/10.3390/app11093759 - 21 Apr 2021
Cited by 2 | Viewed by 2390
Abstract
In several wireless communication systems, robustness against jammers and covertness against eavesdroppers are required simultaneously. In this paper, we propose a novel covert anti-jamming communication system. The properties of both anti-jamming and covertness are achieved through the Gaussian-coded time-frequency modulation scheme. We propose [...] Read more.
In several wireless communication systems, robustness against jammers and covertness against eavesdroppers are required simultaneously. In this paper, we propose a novel covert anti-jamming communication system. The properties of both anti-jamming and covertness are achieved through the Gaussian-coded time-frequency modulation scheme. We propose two receiver algorithms based on the sparse signal recovery framework. The receiver algorithms estimate and remove the jamming signal from the received signal. In addition, it is difficult to distinguish the proposed signal from the actual Gaussian noise in both the time and frequency domains. We compare the covertness of the proposed communication system with that of a conventional digital modulation system in terms of the probability of detection. We numerically evaluated the bit error rate of the proposed system to demonstrate its anti-jamming performance. Full article
(This article belongs to the Special Issue Recent Advances in Electronic Warfare Networks and Scenarios Ⅱ)
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18 pages, 604 KiB  
Article
Source Enumeration Approaches Using Eigenvalue Gaps and Machine Learning Based Threshold for Direction-of-Arrival Estimation
by Yunseong Lee, Chanhong Park, Taeyoung Kim, Yeongyoon Choi, Kiseon Kim, Dongho Kim, Myung-Sik Lee and Dongkeun Lee
Appl. Sci. 2021, 11(4), 1942; https://doi.org/10.3390/app11041942 - 23 Feb 2021
Cited by 4 | Viewed by 1812
Abstract
Source enumeration is an important procedure for radio direction-of-arrival finding in the multiple signal classification (MUSIC) algorithm. The most widely used source enumeration approaches are based on the eigenvalues themselves of the covariance matrix obtained from the received signal. However, they have shortcomings [...] Read more.
Source enumeration is an important procedure for radio direction-of-arrival finding in the multiple signal classification (MUSIC) algorithm. The most widely used source enumeration approaches are based on the eigenvalues themselves of the covariance matrix obtained from the received signal. However, they have shortcomings such as the imperfect accuracy even at a high signal-to-noise ratio (SNR), the poor performance at low SNR, and the limited detection number of sources. This paper proposestwo source enumeration approaches using the ratio of eigenvalue gaps and the threshold trained by a machine learning based clustering algorithm for gaps of normalized eigenvalues, respectively. In the first approach, a criterion formula derived with eigenvalue gaps is used to determine the number of sources, where the formula has maximum value. In the second approach, datasets of normalized eigenvalue gaps are generated for the machine learning based clustering algorithm and the optimal threshold for estimation of the number of sources are derived, which minimizes source enumeration error probability. Simulation results show that our proposed approaches are superior to the conventional approaches from both the estimation accuracy and numerical detectability extent points of view. The results demonstrate that the second proposed approach has the feasibility to improve source enumeration performance if appropriate learning datasets are sufficiently provided. Full article
(This article belongs to the Special Issue Recent Advances in Electronic Warfare Networks and Scenarios Ⅱ)
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8 pages, 4001 KiB  
Article
A Novel LOS Decision Technique Reflecting 3D DTED for Modeling an Electronic Warfare Environment
by Jaejoong Lee, Chiho Lee, Hyeon Hwi Lee, Kyung Tae Park, Hyun-Kyo Jung and Kangwook Kim
Appl. Sci. 2021, 11(1), 409; https://doi.org/10.3390/app11010409 - 04 Jan 2021
Cited by 1 | Viewed by 1624
Abstract
A new line-of-sight (LOS) decision algorithm applicable to simulation of electronic warfare (EW) is developed. For accurate simulation, the digital terrain elevation data (DTED) of the region to be analyzed must be reflected in the simulation, and millions of datasets are necessary in [...] Read more.
A new line-of-sight (LOS) decision algorithm applicable to simulation of electronic warfare (EW) is developed. For accurate simulation, the digital terrain elevation data (DTED) of the region to be analyzed must be reflected in the simulation, and millions of datasets are necessary in the EW environment. In order to obtain real-time results in such an environment, a technology that determines line-of-sight (LOS) quickly and accurately is very important. In this paper, a novel algorithm is introduced for determining LOS that can be applied in an EW environment with three-dimensional (3D) DTED. The proposed method shows superior performance as compared with the simplest point-to-point distance calculation method and it is also 50% faster than the conventional interpolation method. The DTED used in this paper is the data applied as level 0 for the Republic of Korea, and the decision of the LOS at approximately 1.8 million locations viewed by a reconnaissance plane flying 10 km above the ground is determined within 0.026 s. Full article
(This article belongs to the Special Issue Recent Advances in Electronic Warfare Networks and Scenarios Ⅱ)
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