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Radar Active Sensing and Anti-jamming
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Radar Active Sensing and Anti-jamming

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2101

Special Issue Editors

Prof. Dr. Shenghua Zhou

E-Mail Website
Guest Editor
National Laboratory of Radar Signal Processing, Xidian University, No. 2 Taibai Road, Xi’an 710071, China
Interests: radar; multiple-in multiple-out; signal
Dr. Hui Ma

E-Mail Website
Guest Editor
National Laboratory of Radar Signal Processing, Xidian University, No. 2 Taibai Road, Xi’an 710071, China
Interests: new radar system; multiple-in multiple-out; EM signal control

Special Issue Information

Dear Colleague,

The manipulation of electronic magnetic (EM) waves is an art form in radar technology. Tremendous degrees of freedom at the radar transmittance end, such as power, time, waveform, space, spectrum, and polarization, make it possible for a radar system to operate in new and enhanced modes, some of which depend on circumstance measurements and some of which do not. This Special Issue is about the art of EM manipulation, corresponding signal processing techniques, and the benefits resulting from the use of those techniques. Key interests include but are not limited to the following:

  • MIMO radar waveform optimization;
  • Radar active jamming;
  • Dual function radar communications;
  • Enhanced anti-jamming waveforms;
  • Electromagnetic vortex radar;
  • Radar jamming game;
  • Reinforcement learning in radar;
  • Full polarization radar;
  • Radar cross section (RCS)-enhanced detection;
  • Radar target structure perception; angle deception;
  • Radar signal masking and deception;
  • Low probability of interception (LPI);
  • Mainlobe jamming suppression;
  • Bio-inspired radar systems;
  • Biomimetic signals;
  • Anti-jamming in distributed radar;
  • Active radar target classification;
  • False target mimic for synthetic aperture radar;
  • Sparse signal reconstruction;
  • Noise radar

Prof. Dr. Shenghua Zhou
Dr. Hui Ma
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. Sensors 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 2600 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.

Published Papers (2 papers)

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Research

10 pages, 4750 KiB  
Communication
Interference Suppression Algorithm Based on Short Time Fractional Fourier Transform
by Xiaolu Guo, Jia Su and Nan Zhu
Sensors 2024, 24(6), 1785; https://doi.org/10.3390/s24061785 - 10 Mar 2024
Viewed by 735
Abstract
Narrowband interference and wideband interference are both common jamming signals against synthetic aperture radar, which can degrade the signal severely. To suppress interference effectively, an interference suppression method based on short-time fractional Fourier transform (STFrFT) is proposed. After transforming the signal into the [...] Read more.
Narrowband interference and wideband interference are both common jamming signals against synthetic aperture radar, which can degrade the signal severely. To suppress interference effectively, an interference suppression method based on short-time fractional Fourier transform (STFrFT) is proposed. After transforming the signal into the time–frequency domain through STFrFT, an adaptive gain coefficient is determined for the instantaneous frequency spectrum at every certain time. The gain coefficient can be preserved while suppressing the interference. Finally, we obtain the useful signal by inverse STFrFT. The simulation and performance analysis show the effectiveness and validity of the proposed algorithm for measured data. Full article
(This article belongs to the Special Issue Radar Active Sensing and Anti-jamming)
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18 pages, 4670 KiB  
Article
GA-Dueling DQN Jamming Decision-Making Method for Intra-Pulse Frequency Agile Radar
by Liqun Xia, Lulu Wang, Zhidong Xie and Xin Gao
Sensors 2024, 24(4), 1325; https://doi.org/10.3390/s24041325 - 19 Feb 2024
Cited by 1 | Viewed by 996
Abstract
Optimizing jamming strategies is crucial for enhancing the performance of cognitive jamming systems in dynamic electromagnetic environments. The emergence of frequency-agile radars, capable of changing the carrier frequency within or between pulses, poses significant challenges for the jammer to make intelligent decisions and [...] Read more.
Optimizing jamming strategies is crucial for enhancing the performance of cognitive jamming systems in dynamic electromagnetic environments. The emergence of frequency-agile radars, capable of changing the carrier frequency within or between pulses, poses significant challenges for the jammer to make intelligent decisions and adapt to the dynamic environment. This paper focuses on researching intelligent jamming decision-making algorithms for Intra-Pulse Frequency Agile Radar using deep reinforcement learning. Intra-Pulse Frequency Agile Radar achieves frequency agility at the sub-pulse level, creating a significant frequency agility space. This presents challenges for traditional jamming decision-making methods to rapidly learn its changing patterns through interactions. By employing Gated Recurrent Units (GRU) to capture long-term dependencies in sequence data, together with the attention mechanism, this paper proposes a GA-Dueling DQN (GRU-Attention-based Dueling Deep Q Network) method for jamming frequency selection. Simulation results indicate that the proposed method outperforms traditional Q-learning, DQN, and Dueling DQN methods in terms of jamming effectiveness. It exhibits the fastest convergence speed and reduced reliance on prior knowledge, highlighting its significant advantages in jamming the subpulse-level frequency-agile radar. Full article
(This article belongs to the Special Issue Radar Active Sensing and Anti-jamming)
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