Non-Cooperative Bistatic SAR Clock Drift Compensation for Tomographic Acquisitions

Azcueta, Mario; Tebaldini, Stefano

doi:10.3390/rs9111087

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…The effects of these drifts and Doppler shifts on the radar signal cumulate with the effects of the actual motion of the target in the reference frame of the receiver. [15] outlines an analogous reasoning in the context of Synthetic Aperture Radar (SAR) imaging.…”

Section: Bistatic Experimentsmentioning

confidence: 96%

High Resolution Bistatic ISAR Images on Airliners

Fayin,

Pierre

2023

2023 24th International Radar Symposium (IRS)

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ISAR (Inverse Synthetic Aperture Radar) is a technique consisting in illuminating a moving target with a radar system. The motion of the target is used to form a precise image that can provide information on the signature of the target for characterization or identification purposes. ISAR processing is usually done in a monostatic configuration but complementary information can also be brought by bistatic configurations since they allow imaging the same object with different projection planes. This paper presents the results of a high-resolution S-band bistatic imaging measurement campaign of airliners and preliminary analyses of monostatic and bistatic ISAR images obtained from these radar experiments using the covariance matrix on the images' point cloud.

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Section: Bistatic Experimentsmentioning

confidence: 96%

High Resolution Bistatic ISAR Images on Airliners

Fayin,

Pierre

2023

2023 24th International Radar Symposium (IRS)

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“…In fact, in the last decade, Diff-Tomo has been extensively applied to deformation monitoring in urban areas affected by layover effects. It synergically crosses Differential SAR Interferometry for slow motion, i.e., surface deformation monitoring [6], whose core is the temporal phase (rate of change) analysis of repeat-pass acquisition coherent data [6][7][8], and 3D SAR Tomography [3,4,[9][10][11], getting height resolution by spatial spectral analysis [3,4,9,12] of multi-baseline data. The new mode allows for "opening" the SAR cell resolving in a joint height-deformation velocity domain, the 3rd and 4th dimension, respectively, multiple superimposed scatterers [5].…”

Section: Introductionmentioning

confidence: 99%

“…Interestingly, these spatio-temporal signatures can be detected by Diff-Tomo processing, up to the identifiability limits [5,14,15]. These are connected to the kind of baseline-time sampling, which can be monostatic or multistatic [10]/pursuit, and to the temporal scale of decorrelation, i.e., short or long-term. This Diff-Tomo detection capability has been shown with real forest P-band SAR data from the BioSAR-1 airborne campaign, subject to mild [15] long-term decorrelation, in which different spatio-temporal signatures of decorrelation of canopy and ground have been identified [1].…”

Section: Introductionmentioning

confidence: 99%

Generalized-Capon Method for Diff-Tomo SAR Analyses of Decorrelating Scatterers

Lombardini

Cai

2019

Remote Sensing

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In synthetic aperture radar (SAR) remote sensing, Differential Tomography (Diff-Tomo) is developing as a powerful crossing of the mature Differential SAR Interferometry and the emerged 3D SAR Tomography. Diff-Tomo produces advanced 4D (3D+Time) SAR imaging capabilities, extensively applied to urban deformation monitoring. More recently, it has been shown that, through Diff-Tomo, identifying temporal spectra of multiple height-distributed decorrelating scatterers, the important decorrelation-robust forest Tomography functionality is possible. To loosen application constraints of the related main experimented full model-based processing, and develop other functionalities, this work presents an adaptive, just semi-parametric, generalized-Capon Diff-Tomo method, first conceived at University of Pisa in 2013, for joint extraction of height and dynamical information of natural distributed (volumetric) scatterers, with its formalization and a series of insights. Particular reference is given to the important functionality of the separation of different decorrelation mechanisms in forest layers. Representative simulated and P-band forest data sample results are also shown. The new Diff-Tomo method is getting a flexible and rich decorrelation-robust Tomography functionality, and is able to profile height-varying temporal decorrelation, for significantly distributed scatterers.

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“…Varying from the scale of spatial distribution, the ionosphere is typically categorized into the background ionosphere (larger than 10 km) and ionospheric irregularities (less than 10 km) [8,14]. The background ionospheric effect can be mitigated using the split-spectrum method or using the ionospheric prior knowledge acquired from the global navigation satellite system (GNSS)/BeiDou system [15,16,17,18]. In recent papers, the multi-squint (MS) interferometry methodology is proposed [5], which provides a new ionospheric mitigation approach for SAR system with limited bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Ionospheric Scintillation Effect on P-Band Sliding Spotlight SAR System

Zhang

et al. 2019

Sensors

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The space-borne P-band synthetic aperture radar (SAR) maintains excellent penetration capability. However, the low carrier frequency restricts its imaging resolution. The sliding spotlight mode provides an operational solution to meet the requirement of high imaging resolution in P-band SAR design. Unfortunately, the space-borne P-band SAR will be inevitably deteriorated by the ionospheric scintillation. Compared with the stripmap mode, the sliding spotlight SAR will suffer more degradation when operating in the scintillation active regions due to its long integration time and complex imaging geometry. In this paper, both the imaging performance and scintillation effect for P-band sliding spotlight mode are studied. The theoretical analysis of scintillation effect is performed based on a refined model of the two-frequency and two-position coherence function (TFTPCF). A novel scintillation simulator based on the reverse back-projection (ReBP) algorithm is proposed to generate the SAR raw data for sliding spotlight mode. The proposed scintillation simulator can also be applied to predict the scintillation effect for other multi-mode SAR systems such as terrain observation by progressive scans (TOPS) and ScanSAR. Finally, a group of simulations are carried out to validate the theoretical analysis.

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Non-Cooperative Bistatic SAR Clock Drift Compensation for Tomographic Acquisitions

Cited by 8 publications

References 21 publications

High Resolution Bistatic ISAR Images on Airliners

High Resolution Bistatic ISAR Images on Airliners

Generalized-Capon Method for Diff-Tomo SAR Analyses of Decorrelating Scatterers

Performance Analysis of Ionospheric Scintillation Effect on P-Band Sliding Spotlight SAR System

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