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Signal Processing for Bi- and Multistatic Radar Systems
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Signal Processing for Bi- and Multistatic Radar Systems

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

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 1699

Special Issue Editor

Prof. Dr. Mateusz Malanowski

E-Mail Website
Guest Editor
Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19 Street, 00-665 Warsaw, Poland
Interests: passive radar; synthetic aperture radar; noise radar; target tracking; digital signal processing

Special Issue Information

Dear Colleagues,

Bi- and multistatic radar configurations bring certain challenges but also offer advantages over the classical monostatic setup. Since monostatic radars are well-researched, multistatic configurations have received greater attention. Important topics from the point of view of signal processing for multistatic radar systems include:

  • Synchronization of different nodes;
  • Localization;
  • Detection strategies (centralized, decentralized);
  • Target tracking;
  • Beamforming;
  • Multiple-Input, Multiple-Output (MIMO) operation;
  • Forward-scattering phenomenon;
  • Passive radar;
  • Radar imaging (bi- and multistatic SAR/ISAR);
  • Over the horizon detection;
  • Space Surveillance Awareness (SSA) and Space Surveillance and Tracking (SST) applications.

Authors are invited to submit papers presenting original results on signal processing for multistatic radar systems.

Prof. Dr. Mateusz Malanowski
Guest Editor

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.

Keywords

  • passive radar
  • MIMO
  • synchronization
  • forward scattering
  • target localization
  • centralized detection
  • decentralized detection

Published Papers (1 paper)

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Research

11 pages, 2885 KiB  
Article
Coherent Signal DOA Estimation for MIMO Radar under Composite Background of Strong Interference and Non-Uniform Noise
by Bin Lin, Guoping Hu, Hao Zhou and Guimei Zheng
Sensors 2022, 22(24), 9833; https://doi.org/10.3390/s22249833 - 14 Dec 2022
Cited by 2 | Viewed by 1339
Abstract
To address the problems of low accuracy and low robustness of the conventional algorithm in estimating the direction of arrival (DOA) of coherent signals against a composite background of strong interference and non-uniform noise, in this paper, a coherent signal DOA estimation algorithm [...] Read more.
To address the problems of low accuracy and low robustness of the conventional algorithm in estimating the direction of arrival (DOA) of coherent signals against a composite background of strong interference and non-uniform noise, in this paper, a coherent signal DOA estimation algorithm based on fixed projection blocking is proposed in conjunction with a multi-input multi-output (MIMO) radar. The covariance matrix of the received signal is first decomposed by eigenvalues, and a fixed projection matrix orthogonal to the interference guidance vector is constructed as the interference blocking matrix. Then, the received array signal is pre-processed to re-form the covariance matrix, and this matrix is rendered decoherent through a Toeplitz reconstruction. Finally, the reconstructed covariance matrix is estimated by DOA using the propagation operator algorithm to reduce the complexity. The simulation verifies that the proposed algorithm has a better robustness and higher accuracy than conventional algorithms for the DOA estimation of coherent signals in composite backgrounds. Full article
(This article belongs to the Special Issue Signal Processing for Bi- and Multistatic Radar Systems)
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