Research on UWB SAR Image Formation with Suppressing Multipath Ghosts

Wang, Liang; Huang, Xiaotao; Zhou, Zhimin; Song, Qian

doi:10.1109/icr.2006.343575

Cited by 12 publications

(6 citation statements)

References 5 publications

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“…Hence, the clutter reduction can be achieved by a suitable image fusion of each subarray image [23], [24]. Note that the idea of subarray processing was originally introduced in the field of SAR imaging from airborne platforms [8], [9]. Here, starting from a similar concept, a step ahead is undertaken devising and comparing various strategies for clutter rejection.…”

Section: Ghost Problem: Physical Interpretation and Mitigation Smentioning

confidence: 99%

Multipath Ghosts in Radar Imaging: Physical Insight and Mitigation Strategies

Gennarelli

Soldovieri

2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Most algorithms commonly exploited for radar imaging are based on linear models that describe only direct scattering events from the targets in the investigated scene. This assumption is rarely verified in practical scenarios where the objects to be imaged interact with each other and with surrounding environment producing undesired multipath signals. These signals manifest in radar images as "ghosts" that usually impair the reliable identification of the targets. The recent literature in the field is attempting to provide suitable techniques for multipath suppression from one side and from the other side is focusing on the exploitation of the additional information conveyed by multipath to improve target detection and localization. This work addresses the first problem with a specific focus on multipath ghosts caused by target-to-target interactions. In particular, the study is performed with regard to metallic scatterers by means of the linearized inverse scattering approach based on the physical optics (PO) approximation. A simple model is proposed in the case of point-like targets to gain insight into the ghosts problem so as to devise possible measurement and processing strategies for their mitigation. Finally, the effectiveness of these methods is assessed by reconstruction results obtained from full-wave synthetic data.

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Section: Ghost Problem: Physical Interpretation and Mitigation Smentioning

confidence: 99%

Multipath Ghosts in Radar Imaging: Physical Insight and Mitigation Strategies

Gennarelli

Soldovieri

2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…1 can be considered as 1, and 2 is necessarily more than 1. So i 1 > i 2 , so the reflection coefficient of (3) will be negative.…”

Section: Multipath Signals Modelmentioning

confidence: 99%

“…However, these multipath returns can be exploited for image enhancement. Some methods have been proposed to suppress the multipath interference [1][2] . However, the multipath signals contain the information of illuminated targets, which can be used to improve the radar performance.…”

Section: Introductionmentioning

confidence: 99%

Enhancement imaging on multi-path signals in ultra-wideband radar

Jin

Zhou

2013

IET International Radar Conference 2013

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This paper develops a method for enhancement imaging of objects when there are reflecting planes around in the environment. When the location of these planes is known, we can exploit the multipath signals reflected by them in imaging process. Coherent imaging algorithm, like backprojection (BP) algorithm, is typically achieved by direct returns. In this paper, a modified backprojection (MBP) coherent imaging algorithm is proposed to improve the image quality of interested targets by exploiting the multipath signals. The wave reflection analysis shows that, in order to obtain optimum resolution, the multipath signals should be processed before being used to imaging. The key points lie on the compensation of phase mutation and amplitude attenuation. After this process, the resolution of targets has a significant improvement. Simulations are used to validate the proposed algorithms.

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“…After analyzing the multipath scattering model, Wang [19], Tan [20,21], and Li [22] discovered an important feature of the multipath ghost image to be defined as Aspect Dependence (AD). The feature shows that the position of the ghost image changes with the radar location.…”

Section: Introductionmentioning

confidence: 99%

Enhancing SAR Multipath Ghost Image Suppression for Complex Structures through Multi-Aspect Observation

Lin,

Tian,

Wang

et al. 2024

Remote Sensing

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When Synthetic Aperture Radar (SAR) observes complex structural targets such as oil tanks, it is easily interfered with by multipath signals, resulting in a large number of multipath ghost images in the SAR image, which seriously affect the image clarity. To address this problem, this paper proposes a multi-aspect multipath suppression method. This method observes complex structural targets from different azimuth angles to obtain a multi-aspect image sequence and then uses the difference in sequence features between the target image and the multipath ghost image with respect to aspect angle to separate them. This paper takes a floating-roof oil tank as an example to analyze the propagation path and the ghost image characteristics of multipath signals under different observation aspects. We conclude that the scattering center of the multipath ghost image changes with the radar observation aspect, whereas the scattering center of the target image does not. This paper uses the Robust Principal Component Analysis (RPCA) method to decompose the image sequence matrix into two parts: a sparse matrix and a low-rank matrix. The low-rank matrix represents the aspect-stable principal component in the image sequence; that is, the real scattering center. The sparse matrix represents the part of the image sequence that deviates from the principal component; that is, the signal that varies with aspect, mainly including multipath signals, sidelobes, anisotropic signals, etc. By reconstructing the low-rank matrix and the sparse matrix, respectively, we can obtain the image after multipath signal suppression and also the multipath ghost image. Both the target and the multipath signal provide useful information. The image after multipath signal suppression is useful for obtaining the structural information of the target, and the multipath ghost image is useful for analyzing the multipath phenomenon of the complex structure target. This paper conducts experimental verification using real airborne SAR data of an external floating roof oil tank and compares three methods: RPCA, PCA, and sub-aperture fusion method. The experiment shows that the RPCA method can better separate the target image and the multipath ghost image.

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Research on UWB SAR Image Formation with Suppressing Multipath Ghosts

Cited by 12 publications

References 5 publications

Multipath Ghosts in Radar Imaging: Physical Insight and Mitigation Strategies

Multipath Ghosts in Radar Imaging: Physical Insight and Mitigation Strategies

Enhancement imaging on multi-path signals in ultra-wideband radar

Enhancing SAR Multipath Ghost Image Suppression for Complex Structures through Multi-Aspect Observation

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