Omega-K Algorithm for Bistatic SAR With Arbitrary Geometry Configuration

Dai, Chao; Zhang, X. L.

doi:10.1163/156939311797164972

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…Fortunately, the spaceborne TOPS mode usually has a limited maximum azimuth beam steering capability, and existing stripmap focusing processors [16][17][18][19][20][21][22][23][24] can implement SAR data focusing well in this case. In addition to taking conventional stripmap imaging processors, problems of the aliased Doppler spectra and the azimuth output back folding in the SAR image should be resolved.…”

Section: Modified Ecs Algorithmmentioning

confidence: 99%

An Efficient Imaging Approach for Tops Sar Data Focusing Based on Scaled Fourier Transform

Huang¹,

Xu²

2013

PIER B

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Abstract-This paper presents an efficient imaging algorithm for Terrain Observation by Progressive Scans (TOPS) mode SAR raw data focusing. First, the use of subaperture is adopted to overcome the aliased Doppler spectra due to progress azimuth beam scanning. Afterwards, range compression and range cell migration correction (RCMC) are individually implemented in each azimuth block with its individual Doppler centroid. After azimuth subaperture signal recombination, a new Doppler centroid varying rate is introduced to avoid the reconstructed Doppler spectra wrapping. Moreover, azimuth varying beam center time is removed by azimuth frequency scaling before the final azimuth spectrum analysis (SPECAN) step. Finally, the conventional Fourier transform (FT) is replaced by the scaled Fourier transform (SCFT) step to obtain the uniform azimuth space sampling interval. Since the proposed imaging algorithm is without any interpolations and azimuth data extension, it is highly efficient. Simulation results on point targets validate the proposed algorithm.

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Section: Modified Ecs Algorithmmentioning

confidence: 99%

An Efficient Imaging Approach for Tops Sar Data Focusing Based on Scaled Fourier Transform

Huang¹,

Xu²

2013

PIER B

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“…Because the frequency domain linearization used in (14) is accordant with the algorithms based on ISFT [16], here we just carry on simulations to discuss the spatial linearization made in (8).…”

Section: Limitation Simulationmentioning

confidence: 99%

“…Bistatic SAR has received considerable attentions and research around the world recently [6][7][8][9]. Several airborne experiments have been carried out and some spaceborne projects are scheduled as well.…”

Section: Introductionmentioning

confidence: 99%

Processing One-Stationary Bistatic Sar Data Using Inverse Scaled Fourier Transform

Wu¹,

Li²,

Huang³

et al. 2012

PIER

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Abstract-In bistatic synthetic aperture radar (SAR) with one stationary station, two-dimensional spatial variance is a major problem which should be handled. In this paper, an Inverse Scaled Fourier Transform (ISFT) imaging algorithm to deal with this problem is proposed. The approach linearizes the two-dimensional spatiallyvariant point target reference spectrum to derive the reflectivity pattern's spectrum. Based on this spectrum, an ISFT along range direction and a frequency shift along azimuth direction are used to achieve the two-dimensional spatial variance correction. This method is efficient as it only uses phase multiplication and FFTs. Numerical simulations verified the effectiveness of the method.

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“…Hitherto, there have still been many SAR technologies needed to be refined to achieve better system performances and image processing, e.g., two-dimensional sidelobe reduction [1], Automatic Target Recognition (ATR) [2,3], sparse reconstruction with limited information available [4], etc. Also, its basic function of twodimensional imaging has been extended to include many branches of SAR family, e.g., Polarimetric SAR (PolSAR) [5], multiband SAR [6], bistatic SAR [7,8], Multi-Input Multi-Output SAR (MIMO SAR) [9], and Interferometry SAR (InSAR). Although InSAR has been developed since long time ago and widely used in many areas [10][11][12], its performance in a hostile electromagnetic environment has not yet been thoroughly studied.…”

Section: Introductionmentioning

confidence: 99%

The Interferometry Phase of Insar Coherent Jamming With Arbitrary Waveform Modulation

Liu¹,

Xing²,

Wang³

et al. 2012

PIER

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Abstract-This paper focuses on the interferometry phase of an active coherent jamming in InSAR (Interferometry Synthetic Aperture Radar) images. Based on the signal models of coherent jammer, the jamming's imaging results are derived by employing the Omega-K algorithm. By comparing the imaging results of InSAR's two channels, the jamming's interferometry phases for both working modes, the single-pass and repeat-pass modes, are proved to be constants. And the values of the interferometry phases are determined by the jammer's geometry position relative to InSAR baseline, but independent of the jamming's waveform modulation and its background terrain.

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Omega-K Algorithm for Bistatic SAR With Arbitrary Geometry Configuration

Cited by 6 publications

References 22 publications

An Efficient Imaging Approach for Tops Sar Data Focusing Based on Scaled Fourier Transform

An Efficient Imaging Approach for Tops Sar Data Focusing Based on Scaled Fourier Transform

Processing One-Stationary Bistatic Sar Data Using Inverse Scaled Fourier Transform

The Interferometry Phase of Insar Coherent Jamming With Arbitrary Waveform Modulation

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