Efficient Time-Domain Imaging Processing for One-Stationary Bistatic Forward-Looking SAR Including Motion Errors

Xie, Hongtu; Shi, Shuaiyi; Xiao, Hui; Xie, Chao; Wang, Rui; Fang, Qunle

doi:10.3390/s16111907

Cited by 15 publications

(4 citation statements)

References 39 publications

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“…perform similar research for space‐borne vehicles with orbit determination errors [13]. Additionally, many researchers have explored motion compensation in the case of bistatic SAR [14–17].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of back‐projection algorithm (BPA) synthetic aperture radar (SAR) image formation to initial position, velocity, and attitude navigation errors

Lindstrom

Christensen

Gunther

et al. 2021

IET Radar Sonar & Navi

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The Back‐Projection Algorithm (BPA) is a time‐domain‐matched filtering technique to form synthetic aperture radar (SAR) images. To produce high‐quality BPA images, precise navigation data for the radar platform must be known. Errors in position, velocity, or attitude result in improperly formed images that are corrupted by shifting and blurring. The contribution of this paper is the development of analytical expressions that characterise the relationship between navigation errors and image formation errors from an inertial navigation point of view, where trajectory estimation errors in position, velocity, and attitude propagate through time and cause compounding errors in the vehicle state vector. These analytical expressions are verified via simulated image formation and real‐data image formation.

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Section: Introductionmentioning

confidence: 99%

Sensitivity of back‐projection algorithm (BPA) synthetic aperture radar (SAR) image formation to initial position, velocity, and attitude navigation errors

Lindstrom

Christensen

Gunther

et al. 2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…If the bistatic SAR system includes more than one receivers or transmitters, the scene can be illuminated at the different angles, which can acquire the increased information of the targets. The one-stationary bistatic SAR is a special bistatic SAR system [11] [12] [13], which has a moving transmitter (receiver) and a stationary transmitter (receiver). One-stationary bistatic SAR system not only inherits the advantages of the general bistatic SAR system, but also is easy to build and implement imaging, thus it has attracted the wide attention.…”

Section: Introductionmentioning

confidence: 99%

Monostatic and Bistatic Low Frequency Ultrawideband SAR Imaging Experiment

Xie¹,

Chen²,

Li³

et al. 2018

JCC

Self Cite

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Low frequency ultrawideband (LF UWB) synthetic aperture radar (SAR) has lately become of a particular interest to SAR community. Monostatic and bistatic LF UWB SAR system has the well foliage penetrating capability, high-resolution imaging and providing the increased information. In 2015, a monostatic and bistatic LF UWB SAR imaging experiment was conducted. In this experiment, the monostatic and bistatic data were collected simultaneously by operating a moving vehicle-based radar in the SAR mode, in conjunction with a stationary ground-based receiver. The aim was to investigate the imaging property of the bistatic LF UWB SAR system. The one pulse per second (1 PPS) signal in combination with the global position system (GPS) disciplined 100 MHz oscillator from the GPS receivers was used to implement the time and frequency synchronization in this SAR system. The bistatic SAR image was obtained by the subaperture spectrum-equilibrium method integrated with the fast factorized back projection (FFBP) algorithm. Bistatic experiment results are show to prove the validity of the bistatic LF UWB SAR imaging experiment.

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“…Many studies have been made on BFL-SAR [ 1 , 2 , 3 , 4 ]. The ground moving target (GMT) detection and imaging theories were discussed for BFL-SAR in [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter

Yuan

Chen

Zhao

2017

Sensors

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In order to improve the azimuth resolution beyond what monostatic synthetic aperture radar (SAR) can achieve in the forward-looking area, an asymmetric configuration bistatic SAR system and its imaging algorithm are proposed in this paper. The transmitter is mounted on a fixed platform in side-looking mode while the receiver moves along a nonlinear trajectory in forward-looking mode. Due to the high velocity and acceleration of the maneuvering platform in both along-track and height direction, the traditional algorithms are no longer applicable. In this paper, a new algorithm based on the high precise 2-D frequency spectrum is proposed, which takes high-order Taylor series expansion terms of the slant range into consideration. The proposed algorithm compensates high-order range-azimuth coupling terms to guarantee the focus accuracy in SAR imaging. The simulation results and error analysis validate the effectiveness of the proposed algorithm and the correctness of our analysis.

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Efficient Time-Domain Imaging Processing for One-Stationary Bistatic Forward-Looking SAR Including Motion Errors

Cited by 15 publications

References 39 publications

Sensitivity of back‐projection algorithm (BPA) synthetic aperture radar (SAR) image formation to initial position, velocity, and attitude navigation errors

Sensitivity of back‐projection algorithm (BPA) synthetic aperture radar (SAR) image formation to initial position, velocity, and attitude navigation errors

Monostatic and Bistatic Low Frequency Ultrawideband SAR Imaging Experiment

An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter

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