Target Motion Ambiguities in Single-Aperture Synthetic Aperture Radar

Chapman, R.D.; Hawes, C.M.; Nord, Michael E.

doi:10.1109/taes.2010.5417175

Cited by 17 publications

(11 citation statements)

References 18 publications

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“…One should carefully examine the properties of a given system and data before Doppler parameter estimation because the efficiency of each method largely depends on the system parameters and configuration. Third, the coupling of the azimuth and range frequencies in the SLC data described in Equation (16) and Figure 2 is sensitive to the slope α which is a function of the range velocity of the target, the incidence angle, and the wavelength. A more sophisticated approach than the simple phase compensation by Equation (17) might be necessary if a further refinement in range dimension is required.…”

Section: Discussionmentioning

confidence: 99%

“…2017, 9, 926 3 of 16 Let us consider a ground moving object now. Figure 1 shows an imaging geometry of SAR to a ground object with a Cartesian coordinate (x, y, z).…”

Section: Phase Effects Of a Moving Target In 2d Frequency Domainmentioning

confidence: 99%

“…Thus, the main concerns related to ground moving objects are twofold: the detection of a moving target within an SAR image, and the estimation of physical parameters such as velocity or original location. Numerous algorithms have been proposed for GMTI, and most of them are based on sensing the difference in Doppler parameters between the moving object [4][5][6][7][8] and the fixed clutter or on detection by focusing [9][10][11][12][13][14][15][16]. For more efficient detection of ground moving targets, the theory and systems for the along-track interferometry (ATI) also have been extensively researched [13,[17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Park¹,

Kim

Won

2017

Remote Sensing

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Ground moving targets distort normally-focused synthetic aperture radar (SAR) images. Since most high-resolution SAR data providers only offer single-look complex (SLC) data rather than raw signals to general users, they need to apply a simple and efficient residual SAR focusing to SLC data containing moving targets. This paper presents an efficient and effective SAR residual focusing method that is practically applicable to SLC data. The residual Doppler spectrum of the moving target is derived from a general SAR configuration and normal SAR focusing. The processing steps are simple and straightforward, with a limited size of the processing window, e.g., 64 × 64. Application results using simulation data and actual TerraSAR-X SLC data with a speed-controlled vehicle demonstrate the effectiveness of the method, which particularly improves the −3 dB width, integrated sidelobe ratio, and symmetry of the reconstructed signals. In particular, the azimuthal symmetry becomes seriously distorted when the target speed is higher than 8 m/s (or 28.8 km/h), and the symmetry is well recovered by the proposed method.

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Section: Discussionmentioning

confidence: 99%

“…2017, 9, 926 3 of 16 Let us consider a ground moving object now. Figure 1 shows an imaging geometry of SAR to a ground object with a Cartesian coordinate (x, y, z).…”

Section: Phase Effects Of a Moving Target In 2d Frequency Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Park¹,

Kim

Won

2017

Remote Sensing

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“…A result of Chapman et al [13] establishes ultimate limits on moving target detection and estimation using only phase measurements from a single-aperture SAR. SAR inherently measures the two-way range to a target, and for every stationary target there exist many moving targets having the same range history, and therefore none of these movers can be distinguished from the stationary target using the phase history alone [13].…”

Section: A Relation To Prior Workmentioning

confidence: 99%

“…SAR inherently measures the two-way range to a target, and for every stationary target there exist many moving targets having the same range history, and therefore none of these movers can be distinguished from the stationary target using the phase history alone [13]. Thus there are equivalence classes of moving and stationary objects that are indistinguishable.…”

Section: A Relation To Prior Workmentioning

confidence: 99%

Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar

Gunther

Hunsaker

Anderson

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Simultaneously estimating position and velocity of moving targets using only phase information from single-channel SAR data is impossible. This paper defines classes of equivalent target motion and solves the GMTI problem up to membership in an equivalence class using single-channel SAR phase data. We present a definitions for endo-and exo-clutter that is consistent with the equivalence classes, and show that most target motion can be detected, i.e. the set of endo-clutter targets is very small. We exploit the sparsity of moving targets in the scene to develop an algorithm to resolve target motion up to membership in an equivalence class, and demonstrate the effectiveness of the proposed technique using simulated data.

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CSAR Moving Target Detection with Logarithm Background Subtraction Based on Optimal Azimuth Aperture Analysis

Shen

Lin

Teng

et al. 2019

The Proceedings of the International Conference on Sensing and Imaging, 2018

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Target Motion Ambiguities in Single-Aperture Synthetic Aperture Radar

Cited by 17 publications

References 18 publications

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar

CSAR Moving Target Detection with Logarithm Background Subtraction Based on Optimal Azimuth Aperture Analysis

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