A geosynchronous synthetic aperture radar; for tectonic mapping, disaster management and measurements of vegetation and soil moisture

Madsen, S.N.; Edelstein, W.; DiDomenico, L.D.; LaBrecque, John L.

doi:10.1109/igarss.2001.976185

Cited by 118 publications

(59 citation statements)

References 1 publication

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“…Thus, a GEO SAR can obtain the relative movement with the targets on the ground, which ensures sufficient Doppler bandwidth after long time integration for realizing two-dimensional SAR imaging. It can achieve a revisit of the target region of one day and a wide beam footprint of more than hundreds of kilometres [17]. According to the inclination, the designed GEO SAR systems can be classified into the inclined orbit GEO SAR system (large inclination) and the quasi-geostationary system (small or zero inclination, small eccentricity but not zero) [18].…”

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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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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“…2016, 8,916 2 of 14 rarely conducted. In 2002, Madsen et al proposed the basic conception of using GEO D-InSAR to monitor the worldwide earthquake activities and analyzed the feasibility of the system [16].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the combination of GEO SAR and differential SAR interferometry (D-InSAR) can realize timely surface deformation detection, which has great advantages in the evaluation and forecast of natural disasters (earthquakes, landslides, volcano eruptions, etc.) [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Temporal-Spatial Variant Background Ionosphere on Repeat-Track GEO D-InSAR System

Dong

et al. 2016

Remote Sensing

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An L band geosynchronous synthetic aperture radar (GEO SAR) differential interferometry system (D-InSAR) will be obviously impacted by the background ionosphere, which will give rise to relative image shifts and decorrelations of the SAR interferometry (InSAR) pair, and induce the interferometric phase screen errors in interferograms. However, the background ionosphere varies within the long integration time (hundreds to thousands of seconds) and the extensive imaging scene (1000 km levels) of GEO SAR. As a result, the conventional temporal-spatial invariant background ionosphere model (i.e., frozen model) used in Low Earth Orbit (LEO) SAR is no longer valid. To address the issue, we firstly construct a temporal-spatial background ionosphere variation model, and then theoretically analyze its impacts, including relative image shifts and the decorrelation of the GEO InSAR pair, and the interferometric phase screen errors, on the repeat-track GEO D-InSAR processing. The related impacts highly depend on the background ionosphere parameters (constant total electron content (TEC) component, and the temporal first-order and the temporal second-order derivatives of TEC with respect to the azimuth time), signal bandwidth, and integration time. Finally, the background ionosphere data at Isla Guadalupe Island (29.02 • N, 118.27 • W) on 7-8 October 2013 is employed for validating the aforementioned analysis. Under the selected background ionosphere dataset, the temporal-spatial background ionosphere variation can give rise to a relative azimuth shift of dozens of meters at most, and even the complete decorrelation in the InSAR pair. Moreover, the produced interferometric phase screen error corresponds to a deformation measurement error of more than 0.2 m at most, even in a not severely impacted area.

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“…The concept of GEO SAR was proposed by Tomiyasu in 1978 [1,2]. Due to its high temporal resolution and large coverage, GEO SAR can be well applied in a lot of areas such as geology structural mapping, flooding monitoring, sea ice monitoring and soil moisture mapping [3][4][5][6][7]. Recently, GEO SAR turns out to be a research hotspot.…”

Section: Introductionmentioning

confidence: 99%

A Refined Two-Dimensional Nonlinear Chirp Scaling Algorithm for Geosynchronous Earth Orbit Sar

Zeng¹,

Yang²,

Ding³

et al. 2013

PIER

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Abstract-Taking into account long signal propagation time, curved orbit and "near-far-near" slant range histories at apogee, a refined slant range model (RSRM) is presented for geosynchronous earth orbit synthetic aperture radar (GEO SAR) in this paper. Additional linear component and high order components are introduced into straight orbit assumption (SOA) model to describe relative motion during long signal propagation and curved orbit respectively. And the special slant range histories at apogee are considered through adding terms changing with the sign of Doppler rate. Then, based on RSRM under an ideal acquisition and ignoring nonideal factors (such as depolarization and attenuation effects), a refined two-dimensional nonlinear chirp scaling algorithm (RTNCSA) is proposed. Space-variant range cell migration (RCM) caused by range-variant effective velocities is corrected by refined range nonlinear chirp scaling algorithm, and the variable Doppler parameters in azimuth direction are equalized through refined azimuth nonlinear chirp scaling algorithm. Finally, RSRM is verified by 600-second direct signal received by a stationary receiver on a tall building from BeiDou navigation satellite, and RTNCSA is validated through simulated point array targets with resolution of 5 m and scene size of 150 km.

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A geosynchronous synthetic aperture radar; for tectonic mapping, disaster management and measurements of vegetation and soil moisture

Cited by 118 publications

References 1 publication

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

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

Impacts of Temporal-Spatial Variant Background Ionosphere on Repeat-Track GEO D-InSAR System

A Refined Two-Dimensional Nonlinear Chirp Scaling Algorithm for Geosynchronous Earth Orbit Sar

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