Texture-Based Automatic Separation of Echoes from Distributed Moving Targets in UWB Radar Signals

Sakamoto, Takuya; Sato, Toru; Aubry, Pascal; Yarovoy, Alexander

doi:10.1109/tgrs.2014.2322438

Cited by 22 publications

(14 citation statements)

References 15 publications

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“…First, an approximate target image is calculated using the texture angle [10] and IBST. The approximate shape of the target allows us to determine the integrand of the Kirchhoff integral [9].…”

Section: F-k Kirchhoff Migration and Sparse Arraysmentioning

confidence: 99%

Performance evaluation of F-K Kirchhoff migration using ultra-wideband radar with sparse array

Sakamoto

Sato

Aubry

et al. 2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

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Recently, the authors proposed a fast high-resolution imaging algorithm, called frequency-wavenumber (F-K) Kirchhoff migration. It was developed by combining three algorithms: F-K migration, Kirchhoff migration and inverse boundary scattering transform. The F-K Kirchhoff migration is considered promising in improving the image resolution of images taken with airport security body scanners for which costs can be mitigated by introducing sparse arrays. We investigate the imaging performance of the F-K Kirchhoff migration using ultrawideband radar with such sparse arrays. Index Terms-sparse array, radar imaging, F-K Kirchhoff migration

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Section: F-k Kirchhoff Migration and Sparse Arraysmentioning

confidence: 99%

Performance evaluation of F-K Kirchhoff migration using ultra-wideband radar with sparse array

Sakamoto

Sato

Aubry

et al. 2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

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“…(10) and (11). The texture angle was originally proposed for the estimation of target speeds from radar signals [19], [20]. We use the same concept but for a different purpose: we define the texture angle of a radar signal s(X, Y, Z) as…”

Section: Inverse Boundary Scattering Transform and Texture Anglesmentioning

confidence: 99%

Ultra-Wideband Radar Imaging Using a Hybrid of Kirchhoff Migration and Stolt F-K Migration With an Inverse Boundary Scattering Transform

Sakamoto¹,

Sato²,

Aubry³

et al. 2015

IEEE Trans. Antennas Propagat.

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In this paper, we propose a fast and accurate radar imaging algorithm that combines Kirchhoff migration with Stolt's frequency-wavenumber (F-K) migration. F-K migration is known as a fast imaging method in the F-K domain, while Kirchhoff migration is reported to be more accurate. However, Kirchhoff migration requires the reflection points to be located as a function of the antenna position and the delay time. This prevents the use of fast Fourier transforms because Kirchhoff migration must be processed in the time domain, and this can be extremely timeconsuming. The proposed algorithm overcomes this hurdle by introducing the texture angle and the inverse boundary scattering transform. These two tools enable the locations of the reflection points to be determined rapidly for each pixel of a radar image. The radar signals are then modified according to the Kirchhoff integral, before Stolt F-K migration is applied in the frequency domain to produce an accurate radar image. To demonstrate the performance of the proposed method, the conventional delay-andsum (DAS) migration, Kirchhoff migration, Stolt F-K migration, and the proposed method are applied to the same measured datasets.

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“…(8) and (9). The texture angle was originally proposed in estimating target speeds from radar signals [17]. We use the same concept for a different purpose; we define the texture angle of a radar signal s(X, Y, Z) as…”

Section: Inverse Boundary Scattering Transform and Texture Anglementioning

confidence: 99%

Fast and accurate UWB radar imaging using hybrid of Kirchhoff migration and Stolt's F-K migration with inverse boundary scattering transform

Sakamoto

Sato

Aubry

et al. 2014

2014 IEEE International Conference on Ultra-WideBand (ICUWB)

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A fast and accurate radar imaging algorithm is proposed that is a hybrid of the Kirchhoff migration and Stolt's frequency-wavenumber (F-K) migration. The latter is known as a fast imaging method in the F-K domain using the fast Fourier transform. Kirchhoff migration is reported to be more accurate than Stolt's F-K migration, but requires locating reflection points. For this reason, Kirchhoff migration must be processed in the time domain, which can be extremely time-consuming. This study overcomes this hurdle by combining these two algorithms by introducing the texture angle and the inverse boundary scattering transform. These two tools enable the location of a reflection point to be determined quickly for each pixel of a radar image. Using the estimated locations, radar signals are modified according to the Kirchhoff integral. Then Stolt's F-K migration is applied to the modified signals to obtain an accurate radar image. To demonstrate the performance of the proposed method, the conventional Kirchhoff migration, Stolt's F-K migration and the proposed method are applied to a measured dataset.

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Texture-Based Automatic Separation of Echoes from Distributed Moving Targets in UWB Radar Signals

Cited by 22 publications

References 15 publications

Performance evaluation of F-K Kirchhoff migration using ultra-wideband radar with sparse array

Performance evaluation of F-K Kirchhoff migration using ultra-wideband radar with sparse array

Ultra-Wideband Radar Imaging Using a Hybrid of Kirchhoff Migration and Stolt F-K Migration With an Inverse Boundary Scattering Transform

Fast and accurate UWB radar imaging using hybrid of Kirchhoff migration and Stolt's F-K migration with inverse boundary scattering transform

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