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Electronics
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SAR Image and Signal Processing
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SAR Image and Signal Processing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 October 2024) | Viewed by 2966

Special Issue Editors

Dr. Sinong Quan

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Guest Editor
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: SAR/PolSAR information processing
Special Issues, Collections and Topics in MDPI journals
Dr. Tao Zhang

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Guest Editor
School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: SAR/PolSAR image processing; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Junjie Wang

E-Mail Website
Guest Editor
State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics & Information System, National University of Defense Technology, Changsha 410073, China
Interests: SAR signal processing; SAR jamming

Special Issue Information

Dear Colleagues,

We are inviting submissions to a Special Issue of Electronics entitled Advanced Multi-Mode SAR Images and Signal Processing. Synthetic aperture radar (SAR) is an active earth observation system, which has the characteristics of all-day, all-weather, long distance, wide mapping band, and high resolution. It can greatly improve radar information acquisition ability and has great practical value in both military and civilian fields. SAR has undergone a development process from single mode to multi-mode, and the performance of these radar systems has been greatly improved through the expansion of measurement systems. Multi-mode SAR has many advantages such as polarization measurement, high signal-to-noise ratio, differential interferometry, anti-interference, three-dimensional imaging, intelligent, etc. With the continuous development of multi-mode SAR technology, there is a more urgent need for high quality, robust, and fast multi-mode SAR image and signal processing. To promote and guide the further development and application of SAR technology, we are now calling papers for this Special Issue, and warmly welcome contributions from experts and scholars all over the world.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

(1) multi-mode SAR image and signal processing;

(2) multi-mode SAR information processing;

(3) multi-mode SAR imaging;

(4) SAR imaging jamming and anti-jamming;

(5) target scattering characteristic analysis for SAR images;

(6) SAR image feature modulation;

(7) SAR target detection and recognition;

(8) evaluation of SAR jamming.

Dr. Sinong Quan
Dr. Tao Zhang
Dr. Junjie Wang
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. Electronics 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 2400 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

  • synthetic aperture radar
  • multi-mode
  • image and signal processing

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Published Papers (2 papers)

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Research

22 pages, 8264 KiB  
Article
Ray-Tracing-Assisted SAR Image Simulation under Range Doppler Imaging Geometry
by Junjie Li, Gaohao Zhu, Chen Hou, Wenya Zhang, Kang Du, Chuanxiang Cheng and Ke Wu
Electronics 2024, 13(18), 3591; https://doi.org/10.3390/electronics13183591 - 10 Sep 2024
Viewed by 1098
Abstract
In order to achieve an effective balance between SAR image simulation fidelity and efficiency, we proposed a ray-tracing-assisted SAR image simulation method under range doppler (RD) imaging geometry. This method utilizes the spatial traversal mode of RD imaging geometry to transmit discrete electromagnetic [...] Read more.
In order to achieve an effective balance between SAR image simulation fidelity and efficiency, we proposed a ray-tracing-assisted SAR image simulation method under range doppler (RD) imaging geometry. This method utilizes the spatial traversal mode of RD imaging geometry to transmit discrete electromagnetic (EM) waves into the SAR radiation area and follows the Nyquist sampling law to set the density of transmitted EM waves to effectively identify the beam radiation area. The ray-tracing algorithm is used to obtain the backscatter amplitude and real-time slant range of the transmitted EM wave, which can effectively record the multiple backscattering among the components of the distributed target so that the backscattering subfields of each component can be correlated. According to the RD condition equation, the backscattering amplitude is assigned to the corresponding range gate, and the three-dimensional (3D) target is mapped into the two-dimensional (2D) SAR slant-range coordinate system, and the SAR target simulated image is directly obtained. Finally, the simulation images of the proposed method are compared qualitatively and quantitatively with those obtained by commercial simulation software, and the effectiveness of the proposed method is verified. Full article
(This article belongs to the Special Issue SAR Image and Signal Processing)
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20 pages, 3985 KiB  
Article
A Space-Borne SAR Azimuth Multi-Channel Quantization Method
by Wei Xu, Lu Bai, Pingping Huang, Weixian Tan and Yifan Dong
Electronics 2024, 13(6), 1102; https://doi.org/10.3390/electronics13061102 - 17 Mar 2024
Viewed by 1117
Abstract
The space-borne synthetic aperture radar (SAR) azimuth multi-channel system has extensive applications because it can achieve high-resolution and wide-swath radar imaging. The thermal noise generated by the radar receiver of each channel during operation will cause an imbalance between channels. If the echoes [...] Read more.
The space-borne synthetic aperture radar (SAR) azimuth multi-channel system has extensive applications because it can achieve high-resolution and wide-swath radar imaging. The thermal noise generated by the radar receiver of each channel during operation will cause an imbalance between channels. If the echoes of each channel are quantized with the same number of bits without considering the influence of thermal noise, false targets will appear in the imaging consequences. Considering that the thermal noise generated in the receiver will affect the quantization process of the space-borne SAR azimuth multi-channel system, a new space-borne SAR azimuth multi-channel quantization method is proposed to improve this problem. Firstly, the pure noise power of the receiver is calculated without transmitting the radar signal. The signal power is estimated by subtracting the pure noise power from the total power. Then, the average value of the radar echo signal minus k times the standard deviation is used as the left endpoint of the original data amplitude range, and the average value of the radar echo signal plus k times the standard deviation is used as the right endpoint of the original data amplitude range. The original echo data after adjusting the amplitude range is quantified. This method can effectively reduce the influence of thermal noise and random outliers in the receiver on quantization and suppress the appearance of false targets. Finally, simulation is used to confirm the viability of the suggested quantization approach. Full article
(This article belongs to the Special Issue SAR Image and Signal Processing)
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