Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing

Recchia, Andrea; Guarnieri, Andrea Monti; Broquetas, A.; Leanza, Antonio

doi:10.1109/tgrs.2015.2486385

Cited by 22 publications

(12 citation statements)

References 21 publications

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“…The impact of a vibrating target to SAR focusing and interferometry can be evaluated formally in the case of a stationary, homogenous scene, similar to [40], but extended to the interferometric case and using the proposed SoE model.…”

Section: Impact Of Homogenous Clutter Decorrelationmentioning

confidence: 99%

Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

Guarnieri

Manzoni

Giudici³

et al. 2020

Remote Sensing

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The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band.

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Section: Impact Of Homogenous Clutter Decorrelationmentioning

confidence: 99%

Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

Guarnieri

Manzoni

Giudici³

et al. 2020

Remote Sensing

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“…To satisfy the SNR requirement, inclined orbit GEO SAR system needs a higher power and a larger antenna size [19]. It achieves the designed azimuth resolution by a relative shorter integration time and it is sensitive to ionosphere and cluster disturbances [20][21][22][23][24][25][26][27][28]. In contrast, the geostationary system has lower requirements of the power and the antenna size [20].…”

Section: Bandmentioning

confidence: 99%

Performance and Requirements of GEO SAR Systems in the Presence of Radio Frequency Interferences

Guarnieri

et al. 2018

Remote Sensing

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Geosynchronous Synthetic Aperture Radar (GEO SAR) is a possible next generation SAR system, which has the excellent performance of less than one-day revisit and hundreds of kilometres coverage. However, Radio Frequency Interference (RFI) is a serious problem, because the specified primary allocation frequencies are shared by the increasing number of microwave devices. More seriously, as the high orbit of GEO SAR makes the system have a very large imaging swath, the RFI signals all over the illuminated continent will interfere and deteriorate the GEO SAR signal. Aimed at the RFI impact in GEO SAR case, this paper focuses on the performance evaluation and the system design requirement of GEO SAR in the presence of RFI impact. Under the RFI impact, Signal-to-Interference-plus-Noise Ratio (SINR) and the required power are theoretically deduced both for the ground RFI and the bistatic scattering RFI cases. Based on the theoretical analysis, performance evaluations of the GEO SAR design examples in the presence of RFI are conducted. The results show that higher RFI intensity and lower working frequency will make the GEO SAR have a higher power requirement for compensating the RFI impact. Moreover, specular RFI bistatic scattering will give rise to the extremely serious impact on GEO SAR, which needs incredible power requirements for compensations. At last, real RFI signal behaviours and statistical analyses based on the SMOS satellite, Beidou-2 navigation satellite and Sentinel-1 A data have been given in the appendix.

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“…Since it was first proposed by Tomiyasu [], GEO SAR has attracted more and more attention. Especially in recent years, great research progresses have been made, most of which are mainly concentrated on the imaging technique [ Hu et al ., , , ; Ding et al ., ], system parameter analysis and design [ Hobbs et al ., ; Dong et al ., ; Ruiz‐Rodon et al ., ; Guarnieri et al ., ], atmosphere effects [ Recchia et al ., ; Hu et al ., ; Tian et al ., ; Dong et al ., ], and so on.…”

Section: Introductionmentioning

confidence: 99%

Computerized ionospheric tomography based on geosynchronous SAR

Tian

Dong

et al. 2017

JGR Space Physics

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Computerized ionospheric tomography (CIT) based on spaceborne synthetic aperture radar (SAR) is an emerging technique to construct the three‐dimensional (3‐D) image of ionosphere. The current studies are all based on the Low Earth Orbit synthetic aperture radar (LEO SAR) which is limited by long repeat period and small coverage. In this paper, a novel ionospheric 3‐D CIT technique based on geosynchronous SAR (GEO SAR) is put forward. First, several influences of complex atmospheric environment on GEO SAR focusing are detailedly analyzed, including background ionosphere and multiple scattering effects (induced by turbulent ionosphere), tropospheric effects, and random noises. Then the corresponding GEO SAR signal model is constructed with consideration of the temporal‐variant background ionosphere within the GEO SAR long integration time (typically 100 s to 1000 s level). Concurrently, an accurate total electron content (TEC) retrieval method based on GEO SAR data is put forward through subband division in range and subaperture division in azimuth, obtaining variant TEC value with respect to the azimuth time. The processing steps of GEO SAR CIT are given and discussed. Owing to the short repeat period and large coverage area, GEO SAR CIT has potentials of covering the specific space continuously and completely and resultantly has excellent real‐time performance. Finally, the TEC retrieval and GEO SAR CIT construction are performed by employing a numerical study based on the meteorological data. The feasibility and correctness of the proposed methods are verified.

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Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing

Cited by 22 publications

References 21 publications

Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

Performance and Requirements of GEO SAR Systems in the Presence of Radio Frequency Interferences

Computerized ionospheric tomography based on geosynchronous SAR

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