Special Issue "Applications and New Trends in Metrology for Radar/LiDAR-Based Systems II"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 30 November 2022 | Viewed by 557

Special Issue Editors

Prof. Dr. Silvia Liberata Ullo
E-Mail Website
Guest Editor
Department of Engineering (DING), University of Sannio, Benevento, Italy
Interests: remote sensing; data analysis; elaboration of satellite data for earth observation; machine learning applied to satellite images; sensor networks
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yu Yao
E-Mail Website
Guest Editor
School of Information Engineering, East China Jiaotong University, No. 808, E. Shuanggang Street, Nanchang 330013, China
Interests: statistical signal processing and optimization theory, with an emphasis on MIMO communications and radar signal processing
Prof. Dr. Harun Taha Hayvaci
E-Mail Website
Guest Editor
College of Engineering and Technology, American University of the Middle East, Block 6, Building 1, Egaila, Kuwait
Interests: statistical signal processing; radar signal detection and estimation theory; statistical learning and classification; harmonic radar applications
Prof. Dr. Pia Addabbo
E-Mail Website
Guest Editor
Department of Engineering (DING), University of Sannio, Benevento, Italy
Interests: statistical signal processing; image processing; passive remote sensing (hyperspectral sensor); active remote sensing (RADAR, SAR, GNSS-R)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following up the success of the previous Special Issue, a new one has been activated. The scope of this Special Issue is to provide an overview of methods and instruments for and practical experience with testing LiDAR and radar systems and subsystems (land-based, shipborne, and on board of drones, aircraft, and satellites) as well as to obtain measurements of environmental features through remote sensing applications. Specifically, topics of relevance to this Special Issue are: instrument test equipment for verification and validation in the industry, at the customer site, or in the field of operation; automation and remote test equipment; virtual reality technologies; both LiDAR and radar remote sensing applications.

Other topics relevant to this Special Issue are: the state-of-the-art radar system architectures and related digital and software technologies; cognitive radars and the analysis of human-in-the-loop aspects in radar systems; dual-function radar communications and radar systems; waveform design; radar detection theory and radar signal processing; theory, algorithms, and applications (RTAA); target classification; micromotion estimation.

We are collecting papers from university researchers, researchers in industries specialized in conceiving, designing, installing, operating, and testing radar systems for civilian and defense applications, users, and governmental/international agencies. We also invite authors from industries providing instruments to test radar performance to submit a paper on one or more of the above mentioned topics.

Prof. Dr. Silvia Liberata Ullo
Prof. Dr. Alfonso Farina
Prof. Dr. Yu Yao
Prof. Dr. Harun Taha Hayvaci
Prof. Dr. Pia Addabbo
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. Remote Sensing 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 2500 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

  • radar and LiDAR systems
  • radar and LiDAR data measurements and processing
  • remote sensing applications
  • land-based, shipborne, and on board of drones, aircraft, and satellites
  • cognitive radars
  • human-in-the-loop aspects in radar systems
  • dual-function radar communications
  • waveform diversity and design
  • adaptive radar waveform design
  • radar detection theory
  • radar signal processing: theory, algorithms, and applications (RTAA)

Published Papers (1 paper)

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Research

Article
Joint Antenna Placement and Power Allocation for Target Detection in a Distributed MIMO Radar Network
Remote Sens. 2022, 14(11), 2650; https://doi.org/10.3390/rs14112650 - 01 Jun 2022
Viewed by 332
Abstract
Radar network configuration and power allocation are of great importance in military applications, where the entire surveillance area needs to be searched under resource budget constraints. To pursue the joint antenna placement and power allocation (JAPPA) optimization, this paper develops a JAPPA strategy [...] Read more.
Radar network configuration and power allocation are of great importance in military applications, where the entire surveillance area needs to be searched under resource budget constraints. To pursue the joint antenna placement and power allocation (JAPPA) optimization, this paper develops a JAPPA strategy to improve target detection performance in a widely distributed multiple-input and multiple-output (MIMO) radar network. First, the three variables of the problem are incorporated into the Neyman–Pearson (NP) detector by using the antenna placement optimization and the Lagrange power allocation method. Further, an improved iterative greedy dropping heuristic method based on a two-stage local search is proposed to solve the NP-hard issues of high-dimensional non-linear integer programming. Then, the sum of the weighted logarithmic likelihood ratio test (LRT) function is constructed as optimization criteria for the JAPPA approach. Numerical simulations and the theoretical analysis confirm the superiority of the proposed algorithm in terms of achieving effective overall detection performance. Full article
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