Advances in Synthetic Aperture Radar (SAR) System, Signal Processing and Applications

Dear Colleagues,

Synthetic Aperture Radar (SAR) is an advanced remote sensing technology than can generate wide-swath and high-resolution images. Unlike optical sensors, it can facilitate all-day and all-weather Earth observation, and therefore is widely employed in environmental monitoring, disaster management, agriculture, forestry, and oceanography applications.

In recent years, a wide range of new SAR system architectures and technologies have emerged: SAR systems work from single-mode operation to having multifunctional and multi-mode capabilities, and transition from single-channel transmit/receive systems to single-transmit and multi-reception systems, enabling high resolution and wide-swath imaging simultaneously. Further, they transform into multiple-input multiple-output (MIMO) SAR systems, significantly increasing the system’s degrees of freedom, and from single-baseline, single-frequency, single-polarization configurations into multi-baseline, multi-frequency, and multi-polarization systems with the capabilities of jamming and anti-jamming. They also transition from sensing imaging systems into adaptive SAR systems with flexible transmit/receive capabilities, and further into cognitive SAR systems capable of logical reasoning in complex environments. Additionally, they are transformed from large, high-cost monolithic SAR platforms to lightweight, low-cost distributed SAR constellations. Finally, their resolution improves from having a precision of hundreds of meters to having sub-meter and even centimeter-level precision. These new-generation technologies continuously expand the SAR system's degrees of freedom to meet increasing application demands for multi-dimensional spatial sensing, high-resolution and wide-swath coverage, etc.

This Special Issue focuses on reporting the latest progress in the Synthetic Aperture Radar (SAR) system signal processing and applications. Specifically, it includes (but is not limited to) the research of advanced technology and the newest concepts for microwave imaging and applications.

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

• High-resolution and wide-swath (HRWS) SAR systems and signal processing;
• MIMO SAR technology;
• Distributed SAR technology;
• Adaptive/cognitive SAR systems;
• Digital beamforming for SAR systems;
• Waveform diversity for SAR systems;
• SAR jamming and anti-jamming;
• Ambiguity suppression technology;
• Multidimensional SAR imaging;
• AI for SAR imaging and applications;
• New concepts of future SAR systems.

Prof. Dr. Wei Wang
Prof. Dr. Wei Yang
Prof. Dr. Guangcai Sun
Prof. Dr. Jiaqi Chen
Prof. Dr. Ning Li
Dr. Yongwei Zhang
Guest Editors

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