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Remote Sensing
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Advanced Array Signal Processing for Target Imaging and Detection (Second Edition)

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

Deadline for manuscript submissions: 15 September 2024 | Viewed by 1644

Special Issue Editors

Dr. Jiahua Zhu

E-Mail Website
Guest Editor
College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
Interests: radar and sonar target detection; waveform design
Special Issues, Collections and Topics in MDPI journals
Dr. Xuebo Zhang

E-Mail Website
Guest Editor
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China
Interests: sonar imaging; synthetic aperture sonar; synthetic aperture radar; image resolution; radar imaging; signal reconstruction; signal sampling
Special Issues, Collections and Topics in MDPI journals
Dr. Wei Guo

E-Mail Website
Guest Editor Assistant
College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
Interests: adaptive signal processing; target detection and identification
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. **aotao Huang

E-Mail Website
Guest Editor
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: ultra-wide band radar; radar imaging; array signal processing
Special Issues, Collections and Topics in MDPI journals
Dr. Hongtu **e

E-Mail Website
Guest Editor
School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China.
Interests: deep learning; advanced intelligent sensing; advanced radar signal processing; radar imaging and detection; radar image interpretation; target detection and tracking; target classification and recognition; radar interference and anti-interference

Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue, “Advanced Array Signal Processing for Target Imaging and Detection”, a new one has been opened for submission.

In the past decades, considerable progress has been made in the theory and methodology of array signal processing for airborne, ground, marine and underwater target detection. However, further development to improve target illumination performance has proven challenging due to the influences of clutter, interferenceIt is valuable to achieve a comprehensive understanding of current array signal processing theory and approaches for the detection of various targets in the air, on the land and sea surface, and under water. This will aid in future problem solving, which is compounded by the new application requirements.

This Special Issue is proposed to collect and promote advanced array signal processing methods for target detection, imaging and recognition using radar and sonar in a wide range of complex adverse environments with strong background noise/jamming. This Special Issue will focus on (but is not limited to) the following aspects:

  • State-of-the-art array signal processing of radar and sonar;
  • Waveform/frequency diversity;
  • Artificial intelligence for aerial/underwater target characterization, and analysis and recognition under various interference, clutter and noise;
  • Novel modeling and analysis methods for complex target detection;
  • Methods and approaches for the optimization of target detection and imaging;
  • Practical validation notes and technical reviews of related topics.

This Special Issue invites manuscripts on active and passive microwave/acoustic remote sensing, signal and image processing methods and experimental applications of remote sensing.

Dr. Jiahua Zhu
Dr. Xuebo Zhang
Dr. Wei Guo
Prof. Dr. **aotao Huang
Dr. Hongtu **e
Guest Editors

Name: Mr. Zhuang **e
Affiliation: College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Email: [email protected]
Homepage: https://xplorestaging.ieee.org/author/37088770225
Interests: radar waveform design; radar signal processing; optimization theory
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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 2700 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 sonar array signal processing
  • waveform and frequency diversity
  • interference, clutter and noise suppression
  • aerial/ground/marine/underwater target illumination
  • target resolution enhancement

Related Special Issue

Published Papers (3 papers)

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Research

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26 pages, 10937 KiB  
Article
A Steering-Vector-Based Matrix Information Geometry Method for Space–Time Adaptive Detection in Heterogeneous Environments
by Runming Zou, Yongqiang Cheng, Hao Wu, Zheng Yang, **aoqiang Hua and Hanjie Wu
Remote Sens. 2024, 16(12), 2208; https://doi.org/10.3390/rs16122208 - 18 Jun 2024
Viewed by 471
Abstract
Plagued by heterogeneous clutter, it is a serious challenge for airborne radars to detect low-altitude, weak targets. To overcome this problem, a novel matrix information geometry detector for airborne multi-channel radar is proposed in this paper. The proposed detector applies the given steering [...] Read more.
Plagued by heterogeneous clutter, it is a serious challenge for airborne radars to detect low-altitude, weak targets. To overcome this problem, a novel matrix information geometry detector for airborne multi-channel radar is proposed in this paper. The proposed detector applies the given steering vector and array structure information to the matrix information geometry detection method so that it can be used for space–time adaptive detection. While improving the detection performance, the matrix information geometry detector’s original anti-clutter advantage is enhanced as well. The simulation experiment results indicate that the proposed detector has advantages in several of the properties related to space–time adaptive detection, while its computational complexity does not increase significantly. Moreover, experiment results based on the measured data verify the superior performance of the proposed method. Sea-detecting data-sharing-program data, mountaintop data, and phased-array radar data are employed to verify the performance advantage of the proposed method in heterogeneous clutter and the ability for weak target detection. Full article
(This article belongs to the Special Issue Advanced Array Signal Processing for Target Imaging and Detection (Second Edition))
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25 pages, 9727 KiB  
Article
Low-Sidelobe Imaging Method Utilizing Improved Spatially Variant Apodization for Forward-Looking Sonar
by Lu Yan, Juan Yang, Feng Xu and Shengchun Piao
Remote Sens. 2024, 16(12), 2100; https://doi.org/10.3390/rs16122100 - 10 Jun 2024
Cited by 1 | Viewed by 374
Abstract
For two-dimensional forward-looking sonar imaging, high sidelobes significantly degrade the quality of sonar images. The cosine window function weighting method is often applied to suppress the sidelobe levels in the angular and range dimensions, at the expense of the main lobe resolutions. Therefore, [...] Read more.
For two-dimensional forward-looking sonar imaging, high sidelobes significantly degrade the quality of sonar images. The cosine window function weighting method is often applied to suppress the sidelobe levels in the angular and range dimensions, at the expense of the main lobe resolutions. Therefore, an improved spatially variant apodization imaging method for forward-looking sonar is proposed, to reduce sidelobes without degrading the main lobe resolution in angular-range dimensions. The proposed method is a nonlinear postprocessing operation in which the raw complex-valued sonar image produced by a conventional beamformer and matched filter is weighted by a spatially variant coefficient. To enhance the robustness of the spatially variant apodization approach, the array magnitude and phase errors are calibrated to prevent the occurrence of beam sidelobe increase prior to beamforming operations. The analyzed results of numerical simulations and a lake experiment demonstrate that the proposed method can greatly reduce the sidelobes to approximately −40 dB, while the main lobe width remains unchanged. Moreover, this method has an extremely simple computational process. Full article
(This article belongs to the Special Issue Advanced Array Signal Processing for Target Imaging and Detection (Second Edition))
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Other

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16 pages, 10938 KiB  
Technical Note
Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation
by Haoran Wu, Fanyu Zhou, Zhimin ** Zhong and Jiafeng Zhang
Remote Sens. 2024, 16(12), 2144; https://doi.org/10.3390/rs16122144 - 13 Jun 2024
Viewed by 328
Abstract
For a multi-hydrophone synthetic aperture sonar (SAS), the instability of the platform and underwater turbulence easily lead to two-dimensional (2-D) space-variant (SV) motion errors. Such errors can cause serious imaging problems and are very difficult to compensate for. In this study, we propose [...] Read more.
For a multi-hydrophone synthetic aperture sonar (SAS), the instability of the platform and underwater turbulence easily lead to two-dimensional (2-D) space-variant (SV) motion errors. Such errors can cause serious imaging problems and are very difficult to compensate for. In this study, we propose a 2-D SV motion compensation algorithm for a multi-hydrophone SAS based on sub-beam compensation. The proposed algorithm is implemented using the following four-step process: (1) The motion error of each sub-beam is obtained by substituting the sonar’s motion parameters measured in the exact motion error model established in this study. (2) The sub-beam’s targets of all targets are compensated for motion error by implementing two-phase multiplications on the raw data of the multiple-hydrophone SAS in the order of hydrophone by hydrophone. (3) The data of the sub-beam’s target compensated motion error are extracted from the raw data by utilizing the map** relationship between the azimuth angle and the Doppler frequency. (4) The imaging result of each sub-beam is obtained by performing a monostatic imaging algorithm on each sub-beam’s data and coherently added to obtain high-resolution imaging results. Finally, the validity of the proposed algorithm was tested using simulation and real data. Full article
(This article belongs to the Special Issue Advanced Array Signal Processing for Target Imaging and Detection (Second Edition))
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