Revised range point migration method for rapid 3-D imaging with UWB radar

Sakamoto, Takuya; Savelyev, T.G.; Aubry, Pascal; Yarovoy, Alexander

doi:10.1109/aps.2012.6348471

Cited by 7 publications

(9 citation statements)

References 8 publications

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“…(3), (4), and (5), to obtain the target images. The combination of the RRPM [12] 15.2 cm 14.3 cm 16.11 cm method and the bistatic-IBST is known to be computationally fast; the study [10] showed the RRPM method was 170 times faster than the conventional diffraction stack migration under similar conditions.…”

Section: Imaging Using Revised Range Point Migrationmentioning

confidence: 96%

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Auto-focusing UWB radar imaging for moving human target using revised range point migration

Sakamoto

Sato

Aubry

et al. 2014

The 8th European Conference on Antennas and Propagation (EuCAP 2014)

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We propose an ultra-wideband radar imaging algorithm that can be applied to moving targets with unknown speeds. The proposed method compensates for the motion of a human body to automatically generate focused images. The speed of the target is estimated using the image blurriness of the target's head. In the estimation of speeds, we use the revised range point migration, which is known to be a fast radar imaging algorithm. Measurement results showed that the proposed method generates high-quality images for moving targets. A mannequin and a handgun were assumed as targets, of which both were clearly imaged, indicating the applicability of the proposed method to security systems.

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Section: Imaging Using Revised Range Point Migrationmentioning

confidence: 96%

“…To obtain stable derivatives Z X and Z Y , we introduced the revised range point migration (RRPM) method [10], which is known to be fast and robust even for complicated shapes in a noisy scenario.…”

Section: Imaging Using Revised Range Point Migrationmentioning

confidence: 99%

Auto-focusing UWB radar imaging for moving human target using revised range point migration

Sakamoto

Sato

Aubry

et al. 2014

The 8th European Conference on Antennas and Propagation (EuCAP 2014)

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“…We developed a fast imaging algorithm using the bi-static inverse boundary transform (bi-static IBST) that is a reversible transform between radar signals and radar images [4]. The first step in imaging using the bi-static IBST is the extraction of signal peaks that exceeds a threshold Ts.…”

Section: Imaging Using the Inverse Scattering Transform And Revised Rmentioning

confidence: 99%

“…To obtain stable derivatives ZX and ZY , we introduced the revised range point migration (RRPM) method [4], which is known to be fast and robust even for complicated shapes in a noisy scenario. The RRPM method estimates a derivative ZX = tan(θi), where θi is calculated as:…”

Section: Imaging Using the Inverse Scattering Transform And Revised Rmentioning

confidence: 99%

Auto-focusing UWB array radar imaging of a target in unknown motion using Muller and Buffington metrics and cross-range blurriness

Sakamoto

Sato

Aubry

et al. 2014

2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS)

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We propose two target speed estimation methods for an ultra-wideband radar imaging system. The system consists of array antennas scanning while a target is moving. The proposed methods use the Muller and Buffington sharpness metric and cross-range blurriness of radar images to estimate the target speed, and compensate for the estimated motion to generate focused images automatically. The proposed methods are applied to the measurement of a knife, handgun and mannequin on an electrically-controlled moving stage. Measurement results showed that both the proposed methods can estimate target speeds, but with different accuracies. It was also confirmed that the proposed methods can generate high-quality images for moving targets with unknown speeds.

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“…A radar image can be obtained using the following IBST [18], which is applied to the signal s(X, Y, Z):…”

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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Revised range point migration method for rapid 3-D imaging with UWB radar

Cited by 7 publications

References 8 publications

Auto-focusing UWB radar imaging for moving human target using revised range point migration

Auto-focusing UWB radar imaging for moving human target using revised range point migration

Auto-focusing UWB array radar imaging of a target in unknown motion using Muller and Buffington metrics and cross-range blurriness

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

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