Through-the-Wall Radar Imaging Based on Deep Learning
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: closed (28 July 2022) | Viewed by 1739
Special Issue Editor
Interests: array signal processing; Bayesian learning; underwater acoustic signal processing; radar signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past few years, through-the-wall radar imaging (TWRI) systems have attracted notable interest for the identification of targets in indoor environments; these systems have wide applications in military and public security fields, such as search and rescue missions and indoor monitoring. Through-the-wall radar imaging (TWRI) processing and understanding have taken advantage of artificial intelligence breakthroughs, particularly deep learning. The aim of this Special Issue is to increase these exchanges and enable experts from other areas to understand the specifies of TWRI problems, and to also provide a platform for researchers to handle significant challenges and present their innovative research results when applying deep learning to TWRI. Topics for this Special Issue on deep learning for TWRI processing include, but are not limited to, the following:
- Forward and inverse electromagnetic scattering models;
- Clutter rejection and multipath exploitation data processing techniques;
- Compressive sensing for through-wall radar imaging;
- Focusing algorithms for TWRI radars;
- Indoor object detection and classification;
- Indoor monitoring;
- Building layout imaging and feature extraction;
- Supervised, semisupervised, and unsupervised learning.
Dr. Qisong Wu
Guest Editor
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Keywords
- through-the-wall radar imaging
- indoor monitoring
- deep learning
- neural networks
