First ENVISAT and ERS-2 Parasitic Bistatic Fixed Receiver SAR Images Processed with the Subaperture Range-Doppler Algorithm

Sanz-Marcos, J.; Mallorquí, J.J.; Aguasca, A.; Prats, Pau

doi:10.1109/igarss.2006.475

Cited by 17 publications

(3 citation statements)

References 4 publications

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“…Unlike UOB, they use imaging satellite as the transmitter source such as ENVISAT and TerraSAR-X. They developed their own experimental prototype and signal processing software [13,14]. The promising results verified their system feasibility and showed potential diverse applications from such a system.…”

Section: Introductionmentioning

confidence: 98%

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Zeng

2013

PIER B

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Abstract-This paper presents experimental results in the study of Space-surface Bistatic SAR (SS-BSAR) with global navigation satellite system (GNSS) and stationary receiver. The system uses GNSS as the transmitter of opportunity and a self-built, low cost receiver being setup and fixed on the earth. It is potentially useful at remote sensing applications such as earth monitoring. The system prototype and signal processing at each stage leading to final image are described. Experimental image analysis is the core of this paper, and therefore performed in details finally.

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Section: Introductionmentioning

confidence: 98%

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Zeng

2013

PIER B

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“…The UPC University in Spain has devoted to the study of the bistatic SAR configuration since 2004, which used the orbital sensors as transmitters of opportunity and the stationary receivers on the ground [5][6][7][8][9]. They commenced the first experiment at the end of 2005, and have successfully acquired the DEM.…”

Section: Introductionmentioning

confidence: 99%

DEM generation using bistatic interferometry: High-coherence pixel selection and residual reference phase compensation

Zeng

Zhu

et al. 2015

Sci. China Inf. Sci.

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A novel subsidence monitoring technique based on space-surface bistatic differential interferometry using GNSS as transmitters SCIENCE CHINA Information Sciences 58, 062304 (2015); Novel cover selection criterion for spatial steganography using linear pixel prediction error SCIENCE CHINA Information Sciences 59, 059103 (2016); Multichannel DEM reconstruction method based on Markov random fields for bistatic SAR SCIENCE CHINA Information Sciences 58, 062302 (2015); Reference satellite selection method for GNSS high-precision relative positioning Geodesy and Geodynamics 8, 125 (2017); High-precision deformation monitoring algorithm for GBSAR system: rail determination phase error compensation SCIENCE CHINA Information Sciences 59, 082307 (2016);. RESEARCH PAPER .

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“…The processing method used in this letter [5], [9] is based on the classical monostatic range-Doppler algorithm for SAR focusing but is extended to the bistatic azimuth invariant topographydependent case. The main idea is to apply an approximation of the given geometry for a series of subapertures.…”

Section: Signal Processingmentioning

confidence: 99%

SABRINA: A SAR Bistatic Receiver for Interferometric Applications

Sanz-Marcos

López-Dekker

Mallorquí

et al. 2007

IEEE Geosci. Remote Sensing Lett.

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Abstract-This letter discusses the implementation of SABRINA, Synthetic Aperture radar Bistatic Receiver for Interferometric Applications. The ground resolution of a fixedreceiver bistatic system is studied, showing that it is comparable to that of a monostatic system. Due to the short distance from target to receiver, large sensitivity is obtained. The noncooperative nature of the bistatic system forces a conservative data-acquisition strategy based on continuously sampling the scattered signal during a temporal window around the predicted satellite overpass time. Also, to be able to synchronize the system in time and in frequency, sampling of a direct signal obtained through an antenna pointed at the satellite is required. Besides the signal processing required to phase-lock the received signal, the bistatic synthetic aperture radar processing needs to take into account the azimuth-dependent phase history. First focused images obtained with the SABRINA-ENVISAT combination are discussed.Index Terms-Bistatic synthetic aperture radar, interferometry, sensor of opportunity, synthetic aperture radar (SAR).

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First ENVISAT and ERS-2 Parasitic Bistatic Fixed Receiver SAR Images Processed with the Subaperture Range-Doppler Algorithm

Cited by 17 publications

References 4 publications

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

DEM generation using bistatic interferometry: High-coherence pixel selection and residual reference phase compensation

SABRINA: A SAR Bistatic Receiver for Interferometric Applications

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