Recent Advances and Applications of Radar Signal Processing

Dear Colleagues,

Radar signal processing, as a crucial aspect of radar technology, has witnessed recent advancements that profoundly impact various sectors, including breakthroughs in MIMO radar technology, enhanced adaptive learning capabilities of cognitive radar, refined beam control through DBF technology, and significant progress in target feature extraction and recognition based on deep learning. These developments collectively propel radar systems to achieve remarkable improvements in resolution, anti-jamming capability, target detection performance, and intelligence levels, providing more robust technical support for the widespread application of radar in military, aerospace, meteorology, transportation, and other fields.

One of the most significant breakthroughs in radar signal processing in recent years has been the advancements made in high-resolution imaging technology. By employing advanced algorithms such as compressed sensing, sparse representation, and deep learning, radar systems can achieve the high-precision three-dimensional imaging of targets. This not only significantly enhances the accuracy and efficiency of target recognition but also provides robust support for remote monitoring, disaster assessment, urban planning, and more. Another noteworthy development is the trend towards intelligence in radar signal processing. With the rapid advancement of artificial intelligence, particularly the widespread application of deep learning and neural networks, radar signal processing has transcended traditional methods like filtering and matching, incorporating the powerful analytical capabilities of machine learning to achieve the adaptive processing and intelligent interpretation of complex signals. This implies that radar systems can self-optimize, dynamically adjusting parameters based on environmental changes and target characteristics, thereby maintaining high performance in diverse and changing scenarios. Furthermore, combined with big data processing techniques, radar systems can mine deeper levels of information, providing users with more precise decision support. Cognitive radar represents another significant advancement, incorporating adaptive and learning capabilities. Unlike traditional radar systems, cognitive radar can sense changes in its environment and dynamically adjust its transmission parameters in real time, optimizing detection performance based on acquired data. This self-learning and adaptive nature enable cognitive radar to efficiently manage dynamic target characteristics and complex electromagnetic interference, providing superior overall performance and adaptability across diverse scenarios. At the hardware level, advancements in radar signal processing have also driven the miniaturization and integration of radar systems. With the maturation of technologies such as microwave integrated circuits and phased array antennas, radar devices have seen substantial reductions in size, power consumption, and cost, enabling radar technology to be more widely applied in daily life.

In summary, the development of radar signal processing technology will continue to advance along the directions of high resolution, intelligence, and miniaturization.

Dr. Wenjing Zhao
Dr. Xianxiang Yu
Dr. Zhi Sun
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.

• MIMO radar
• cognitive radar
• deep learning
• radar imaging
• target detection
• waveform design