Efficient Strip-Mode SAR Raw-Data Simulation of Fixed and Moving Targets

Dogan, Ozan; Kartal, M.

doi:10.1109/lgrs.2011.2132791

Cited by 29 publications

(12 citation statements)

References 12 publications

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“…From Table 4, it can be seen that in the broadside mode, both of the frequency domain methods almost agree with the time domain one, where the relative error is at the acceptable level; however the proposed method exhibits a better performance. In the low squint mode (squint angle is 10 • ) it can be observed that the method in [25] shows a large relative deviation, which is not tolerable to the accuracy of the generated raw data. Nevertheless, the presented method still keeps a good performance, even in the case of high squint mode (squint angle is 30 • ), and the error is still within a small range by the simulation validation.…”

Section: Man-made Scenes Simulationmentioning

confidence: 99%

“…The above results prove the accuracy of the raw data of fixed and moving targets with proposed simulator. In order to show the precision and effectiveness of the presented simulator, another simulation experiment is made to compare with the existing frequency domain generator introduced in [25]. The simulation parameters are the same as those in Table 1, and the compared result is given in Table 4.…”

Section: Man-made Scenes Simulationmentioning

confidence: 99%

“…The simulation parameters are the same as those in Table 1, and the compared result is given in Table 4. In Table 4, the time domain method, the frequency method in [25], and the proposed method are labeled as TDM, FDM-1, and FDM-2, respectively. And ERROR-1 denotes the relative deviation between the TDM and FDM-1.…”

Section: Man-made Scenes Simulationmentioning

confidence: 99%

“…Reference [24] simulates the raw data of moving point targets in the time domain; however, the efficiency cannot be tolerated in the present of distributed moving targets. In [25], the paper proposed an efficient SAR raw data generator of a scene that includes fixed and moving targets; nevertheless, it can only simulate the raw data of moving targets with constant speed. In addition, the precision of the simulator is not high enough because it uses the hyperbolic approximation during the derivation of the spectrum of the moving targets.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Strip-Mode Sar Raw Data Simulator of Extended Scenes Included Moving Targets

Yang¹,

Yu²,

Luo³

et al. 2013

PIER B

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Abstract-An accurate and efficient SAR raw data generator is of considerable value for testing system parameters and the imaging algorithms. However, most of the existing simulators concentrate on the raw signal simulation of the static extended scenes and targets. Actually the raw signal simulator of the moving targets is highly desired to quantitatively support the application of the ground moving targets indication. The raw data simulation can be exactly realized in the time domain but not efficient especially when simulating an extended scene. As for the issues, the analytical expression for the 2-D signal spectrum of moving targets with constant acceleration is derived and a fast raw data simulation method in the 2-D frequency domain based on inverse ω-κ algorithm is proposed in this paper, where the inverse STOLT interpolation is applied to simulate the range-azimuth couple. So it is more efficient than the time domain one by making use of Fast Fourier Transform (FFT). Simulation results for a man-made scene and a real SAR scene are provided to demonstrate its validity and effectiveness.

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Section: Man-made Scenes Simulationmentioning

confidence: 99%

Section: Man-made Scenes Simulationmentioning

confidence: 99%

Section: Man-made Scenes Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Strip-Mode Sar Raw Data Simulator of Extended Scenes Included Moving Targets

Yang¹,

Yu²,

Luo³

et al. 2013

PIER B

View full text Add to dashboard Cite

show abstract

“…Geng et al [18] proposed a frequency spectrum model for the radar signal to simulate the SAR raw data in the frequency domain (2FD). Dogan et al [19] simulated an extended scene and the moving target in the frequency domain separately and then superposed them in the time domain.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Method for Simulation of Synthetic Aperture Radar (SAR) Raw Data in Moving Target Detection

Rahmanizadeh

Amini

2017

Remote Sensing

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SAR (Synthetic Aperture Radar) raw data simulation has a significant role in the evaluation of newly-proposed methods for the estimation of moving target parameters. The evaluation of methods in different cases emphasizes the importance of the need to have fast simulators. Using reverse SAR imaging methods for the raw data simulations has achieved good results in the simulation of the static targets, but for the simulation of moving targets these methods have a few shortcomings. In this paper, we propose a method to simulate a speckled scene with moving targets in the hybrid domain. First, the scene is simulated, including speckle, which is statistically in accordance with real SAR image behavior. Then, a reverse imaging algorithm (inverse chirp scaling) was applied on the scene to generate the SAR raw data. The moving target simulation was also done in the time-domain as the next step. Finally, the results from two prior steps were superposed to generate the SAR raw data with moving targets. All steps of the proposed method were evaluated separately. The speckle procedure was evaluated by comparing the speckled SAR image before the simulation and the image of the SAR simulated raw data. The results show similar variations in real and imaginary parts of these data. The correlation between the reflectivity map and the SAR images after the simulation was calculated and the obtained correlation coefficient was about 0.95 for different images. The final data were further analyzed for the displacement of moving targets' positions. The results show similar displacement between moving target SAR raw data with a background and without a background.

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Azimuthal Ocean Wave Emerged in SAR Image Spectra Under Specific Condition

Yoshida

2017

JGR Oceans

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Velocity bunching causes nonlinear modulations in synthetic aperture radar (SAR) images of oceanic scenes. SAR images for the azimuth waves exhibit destructive wavy patterns because of azimuthal distortion caused by velocity bunching. Meanwhile, velocity bunching creates constructive wavy patterns for long waves in certain cases. This paper aims to provide a simple indication for practical interpretation of plausible wavy patterns. A numerical simulation had been performed to address how velocity bunching forms a clear wave‐like pattern caused by orbital motions of a long single swell under a certain condition. More specifically, when the azimuth shifts caused by the orbital motions of the azimuth wave concentrate in the wave trough or crest, the bunching causes a strong single peak in the SAR images. This paper explains the mechanism of displaying plausible wavy patterns from the viewpoint of the ocean wave spectra and this specific condition. First, the simulation was validated for irregular waves generated from ocean wave spectra matching actual buoy data from which SAR images were simultaneously obtained. The SAR image spectra showed longer waves than those of the ocean wave spectra estimated via buoy data. The simulated spectra exhibited a similar trend to the actual SAR image, thus validating the numerical simulation. Next, an additional numerical simulation was conducted for irregular waves under the specific condition. The simulated results suggest that if a significant wave height and wavelength match the specific condition, the long waves in SAR image spectra can be similar to the original ocean wave spectra.

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Efficient Strip-Mode SAR Raw-Data Simulation of Fixed and Moving Targets

Cited by 29 publications

References 12 publications

Efficient Strip-Mode Sar Raw Data Simulator of Extended Scenes Included Moving Targets

Efficient Strip-Mode Sar Raw Data Simulator of Extended Scenes Included Moving Targets

An Integrated Method for Simulation of Synthetic Aperture Radar (SAR) Raw Data in Moving Target Detection

Azimuthal Ocean Wave Emerged in SAR Image Spectra Under Specific Condition

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