Research and Development of Signal Processing for Radar Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Radar Sensors".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 213
Editors
Interests: radar and communication signal processing; sensor signal processing; deep learning techniques
Special Issues, Collections and Topics in MDPI journals
Interests: machine vision and its applications in industry; image recognition, and processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As one of the core foundations of information science, signal processing has been widely applied in fields such as communication, automation, radar, sonar, biomedical, geophysical, and fault diagnosis, and the integration of signal processing and sustainable development is becoming a key force in promoting the green transformation of digital society. In recent years, new signal processing technologies have emerged continuously, especially the application of deep learning algorithms in signal processing, which has led to significant breakthroughs in the integration of computing and artificial intelligence, supporting the development of frontier technologies such as 6G communication, intelligent perception, and speech and image processing. Signal processing technologies provide solid support for achieving an environmentally friendly information society by improving energy efficiency, optimizing algorithms, and building green network architectures. The goal of this Special Issue is to provide a comprehensive perspective on the research status and future development of signal processing, including the latest research on traditional signal processing algorithms and deep learning algorithms. Topics of interest in this Special Issue include, but are not limited to, the following:
- Time domain signal processing methods;
- Frequency domain signal processing methods;
- Non-stationary signal processing methods;
- Nonlinear signal processing methods;
- Signal processing methods based on deep learning;
- Application of signal processing methods;
- Implementation of signal processing methods on embedded platforms.
Dr. Wei Xue
Dr. Yue Yang
Dr. Wei Liu
Guest Editors
Manuscript Submission Information
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Keywords
- signal processing theory
- application of signal processing
- implementation of signal processing
- signal processing combined with deep learning algorithms
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