Affiliation:
1. Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China
Abstract
Synthetic aperture radar (SAR) is a powerful tool for detecting and imaging targets in enclosed environments, such as tunnels and underground garages. However, SAR performance is degraded by multipath effects, which occur when electromagnetic waves are reflected by obstacles, such as walls, and interfere with the direct signal. This results in the formation of multipath ghost images, which obscure the true target and reduce the image quality. To overcome this challenge, we propose a novel method based on multi-angle observation. This method exploits the fact that the position of ghost images changes depending on the angle of the radar, while the position of the true target remains stable. By collecting and processing multiple data sets from different angles, we can eliminate the ghost images and enhance the target image. In addition, we introduce a center vector distance algorithm to address the complexity and computational intensity of existing multipath suppression algorithms. This algorithm, which defines the primary direction of multi-angle vectors from stable scattering centers as the center vector, processes and synthesizes multiple data sets from multi-angle observations. It calculates the distance of pixel intensity sequences in the composite data image from the center vector. Pixels within a specified threshold are used for imaging, and the final result is obtained. Simulation experiments and real SAR data from underground garages confirm the effectiveness of this method in suppressing multipath ghost images.
Funder
National Natural Science Foundation of China
Innovation Team Building Support Program of the Beijing Municipal Education Commission
Reference35 articles.
1. Doerry, A. (2019, January 22–26). Introduction to Synthetic Aperture Radar. Proceedings of the 2019 IEEE Radar Conference (RadarConf), Boston, MA, USA.
2. Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing;Varshney;IEEE Signal Process. Mag.,2014
3. Multistatic Synthetic Aperture Radar Image Formation;Krishnan;IEEE Trans. Image Process.,2010
4. Structural displacement monitoring using ground-based synthetic aperture radar;Hosseiny;Int. J. Appl. Earth Obs. Geoinf.,2023
5. Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking;Ram;IEEE J. Sel. Top. Signal Process.,2023
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献