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Method for decomposing and reconstructing ISAR (inverse synthetic aperture radar) objects on basis of attributed scattering center model

A technology of attribute scattering center and target decomposition, applied in the field of inverse synthetic aperture radar (ISAR) imaging processing, can solve the problems of destroying signal integrity and low signal-to-noise ratio

Inactive Publication Date: 2014-03-12
XIDIAN UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose an ISAR target decomposition and reconstruction method based on the attribute scattering center model in view of the problem that the image domain segmentation parameter extraction method is not suitable for the environment of low signal-to-noise ratio and complex structure target, and the problem of destroying signal integrity

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  • Method for decomposing and reconstructing ISAR (inverse synthetic aperture radar) objects on basis of attributed scattering center model
  • Method for decomposing and reconstructing ISAR (inverse synthetic aperture radar) objects on basis of attributed scattering center model
  • Method for decomposing and reconstructing ISAR (inverse synthetic aperture radar) objects on basis of attributed scattering center model

Examples

Experimental program
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Effect test

Embodiment 1

[0057] Example 1: Parameter estimation for the first attribute scattering center:

[0058] [1a] for the remaining signal S res1 (f, θ) for parameter estimation to get the estimated parameters of the first attribute scattering center with will estimate the parameters with Substituting into equation (8), the first scattering center signal is obtained

[0059] Using formula (15) to get the reconstructed signal S 1 (f, θ), using S 1 (f, θ) re-estimated parameters with Use formula (8) to get the first attribute scattering center signal

[0060] [1c] The reconstructed signal S obtained from formula (15) when i=1 1 (f,θ) and the residual signal S res1 (f, θ) are equal, the change value of two adjacent parameter estimation results is zero, lower than the preset threshold, and there is no need to repeat the process [1b]; using formula (10), the remaining signal S res2 (f, θ);

Embodiment 2

[0061] Example 2: Parameter estimation for the first and second attribute scatter centers:

[0062] [2a] For the remaining signal S res2 (f, θ) for parameter estimation to get the estimated parameters of the second attribute scattering center with will estimate the parameters with Substituting into equation (8), the second scattering center signal is obtained

[0063] [2b] Use formula (15) to get the reconstructed signal S 1 (f, θ), using S 1 (f, θ) re-estimated parameters with Use formula (8) to get the first attribute scattering center signal

[0064] [2c] Use formula (15) to get the reconstructed signal S 2 (f, θ), using S 2 (f, θ) re-estimated parameters with Use formula (8) to get the second attribute scattering center signal

[0065] [2d] Repeat the process [2b] and [2c] to re-estimate the first and second attribute scattering centers until the change value of the two adjacent parameter estimation results of each scattering center is lower than...

Embodiment 3

[0067] Example 3: Parameter estimation for the first, second and third attribute scatter centers:

[0068] [3a] For the remaining signal S res3 (f, θ) for parameter estimation to get the estimated parameters of the third attribute scattering center with will estimate the parameters and Substituting into equation (8), the third scattering center signal is obtained

[0069] [3b] Use formula (15) to get the reconstructed signal S 1 (f, θ), using S 1 (f, θ) re-estimated parameters with Substituting the original estimated parameters; substituting into formula (8) to get the first scattering center signal again

[0070] [3c] Use formula (15) to get the reconstructed signal S 2 (f, θ), using S 2 (f, θ) re-estimated parameters with Substituting the original estimated parameters; substituting into formula (8) to get the second scattering center signal

[0071] [3d] Use formula (15) to get the reconstructed signal S 3 (f, θ), using S 3 (f, θ) re-estimated pa...

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Abstract

The invention discloses a method for decomposing and reconstructing ISAR (inverse synthetic aperture radar) objects on the basis of an attributed scattering center model. The method is used for extracting and estimating parameters of attributed scattering centers and reconstructing the objects. By the aid of the method, problems that an existing parameter extracting method for dividing image domains is not suitable for environments with low signal-to-noise ratios and objects provided with complicated structures and the signal integrity is destroyed. The scheme includes that the method comprises performing distance imaging, translation compensation, direction imaging and Fourier transformation on signals of the ISAR objects and converting the signals into distance domains and direction angle domains; sequentially estimating parameters of K attributed scattering centers in the spatial objects and iterating and dissolving the parameters of the attributed scattering centers of the spatial objects; superimposing the K attributed scattering centers to reconstruct the ISAR objects and estimate the sizes of the ISAR objects. The method has the advantages that the computational efficiency can be improved by the aid of a quick Fourier transformation algorithm for solving the problem of high computational complexity of an existing method, parameters of the scattering centers of the spatial objects can be accurately extracted and estimated, and the method can be applied to the field of object detection and recognition and ISAR imaging.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, relates to inverse synthetic aperture radar (ISAR) imaging processing, and can be used for decomposing the attribute scattering center of a space target, reconstructing the space target and estimating its size. Background technique [0002] Extracting and estimating characteristic parameters of scattering centers from radar signals is a hot issue in radar target imaging and recognition applications. The performance of radar scatter center estimation depends on the accuracy of modeling the scatter center. In recent years, experts at home and abroad have carried out in-depth and systematic research on the radar scattering center model. Aiming at the problem that the point scattering model is difficult to reflect the overall structure of the spread scattering center, a geometric diffraction model and an attribute scattering center model have been proposed. Among them, the attribute ...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/412G01S13/904G01S13/9064
Inventor 张磊董祺全英汇许志伟徐刚
Owner XIDIAN UNIV
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