Point scatterers target identification using frequency domain signal processing

Konovaluk, M.; Kuznetsov, Yu.V.; Baev, Andrey

doi:10.1109/irs.2008.4585731

Cited by 3 publications

(6 citation statements)

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“…The algorithm uses information criterion for model order selection [4] and 2D Matrix Pencil method for parameter estimation [5]. This algorithm implements the parametric identification of the inverse filter model based on its output image.…”

Section: I I R a D A R I M A G E P O S T -P R O C E S S I N Gmentioning

confidence: 99%

“…This algorithm implements the parametric identification of the inverse filter model based on its output image. The algorithm uses information criterion for model order selection [4] and 2D Matrix Pencil method for parameter estimation [5].…”

Section: Radar Image Post-processingmentioning

confidence: 99%

“…Responses from separate point scatterers may be considered as their individual reflected signals [4]. However, the distance between the scattering centers may be far lesser than the radar range resolution, which considerably complicates the target recognition directly from its radar range profile.…”

Section: Introductionmentioning

confidence: 99%

“…Pulse duration needs to be short enough to obtain the range profile with predefined range resolution. In addition, it was assumed that radar is equipped with the non-scanning antenna system having a beam width much larger than the target angular dimension [5].…”

Section: Introductionmentioning

confidence: 99%

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Parametric reconstruction of radar image based on Multi-point Scattering Model

Konovalyuk

Gorbunova

Baev

et al. 2014

Int. J. Microw. Wireless Technol.

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maxim konovalyuk, anastasia gorbunova, andrey baev and yury kuznetsovThe wideband coherent-pulse radar provides high-resolution image of the target. The model of this image is a complex envelope superposition corresponding to signals diffracted by the point scatterers. The values of complex envelopes are distributed over the radar image coordinate plane in accordance with the point scatterer positions and their reflection coefficients. The radar image model consists of range and Doppler profiles. The parameters of the target point scatterers were defined by processing of two-dimensional (2D) data extracted from the complex 2D discrete Fourier transforms of the radar image. The proposed parametric system identification method performs the estimation of the model parameters for a short dwell time and the extrapolation of the radar data image beyond this time. The modified procedure of inverse synthesis aperture radar imaging applied to actual data showed a reduction of the Doppler smearing and some improvements of image resolution.

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Section: I I R a D A R I M A G E P O S T -P R O C E S S I N Gmentioning

confidence: 99%

Section: Radar Image Post-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parametric reconstruction of radar image based on Multi-point Scattering Model

Konovalyuk

Gorbunova

Baev

et al. 2014

Int. J. Microw. Wireless Technol.

Self Cite

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show abstract

“…The responses from the point scatterers may be considered as a signals reflected from them [4]. However, the distance between scattering centers may be far lesser than the radar range resolution, which considerably complicates the target recognition directly from its radar range profile.…”

Section: Introductionmentioning

confidence: 99%

The ISAR Image Post-Processing for Multi-Point Target Identification

Konovalyuk¹,

Gorbunova²,

Kuznetsov³

et al. 2011

International Journal of Electronics and Telecommunications

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The wideband coherent pulse radar provides high resolution image of the target. A model of this image is composed of the complex envelope superposition of signals diffracted by the point scatterers. The values of complex envelope are distributed over the radar image coordinate plane in accordance with the point scatterer's positions and their reflection coefficients. The radar image model is combining of the range and Doppler profiles. The parameters of the target point scatterers are processed using one dimensional data extracted from the complex discrete Fourier transform of the radar image. The proposed parametric system identification method performs estimation of signal model parameters for the short dwell time and extrapolation of the radar data outside this time. Also the procedure of the ISAR imaging based on the proposed algorithm is introduced. The reducing smeared Doppler shifts and improving image resolution are achieved as a result.

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