Impulse through-the-wall radar imaging method based on one-bit compressive sensing

Qu, Lele; Wang, Z.; Li, Z.; Yang, Tong

doi:10.1049/icp.2021.0580

Cited by 1 publication

(1 citation statement)

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“…SVD reduces data dimensions by extracting principal signal components [27][28][29], but its performance can be suboptimal with irregular data distributions. Lastly, factor analysis effectively extracts latent factors, revealing the intrinsic structure and patterns of the data [30][31][32][33]. However, this method relies on assumptions about data independence and distribution, and inaccurate assumptions can lead to uninterpretable or overlapping factors.…”

Section: Introductionmentioning

confidence: 99%

SAR Multi-Angle Observation Method for Multipath Suppression in Enclosed Spaces

Lin,

Zhao,

Wang

et al. 2024

Remote Sensing

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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.

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