Inverse synthetic aperture radar imaging method based on multi-task Bayesian compression perception

A technology of Bayesian compression and inverse synthetic aperture, applied in the field of radar, can solve the problems of poor stability and high imaging complexity, and achieve the effect of high imaging stability and reduced imaging complexity

Inactive Publication Date: 2017-02-15
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a method for inverse synthetic aperture radar imaging based on multi-task Bayesian compresse

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[0032] Specific implementation method

[0033] The present invention will be further described in detail below with reference to the drawings and embodiments.

[0034] Reference figure 1 The specific implementation steps of the present invention are as follows:

[0035] Step 1: Obtain the echo signal S r (τ,t).

[0036] (1a) The radar continuously transmits the chirp signal p(τ) to the sparse target scene:

[0037]

[0038] Among them, rect(·) is a rectangular window function, τ is time, T p Is the pulse duration, j is the imaginary unit, f c Is the carrier frequency of the chirp signal, μ is the frequency modulation slope of the chirp signal;

[0039] (1b) The radar receives the echo pulse reflected from the sparse target scene and obtains the echo signal S r (τ,t), its expression is:

[0040]

[0041] Among them, τ is the fast time, τ r Is the delay time, t is the slow time, X is the distance of the sparse target scene, Y is the azimuth of the sparse target scene, f x,y Is the scatteri...

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Abstract

The invention provides an inverse synthetic aperture radar imaging method based on multi-task Bayesian compression perception. The method is used to solve technical problems that imaging complexity is high and stability is poor in an existing inverse synthetic aperture radar imaging method based on compression perception. The method comprises the following steps of emitting a chirp signal to a sparse target scene by a radar and simultaneously acquiring an echo signal of the scene; constructing an echo model; introducing an intermediate variable matrix and constructing a solving model; and using a multi-task Bayesian compression perception algorithm to solve, acquiring the intermediate variable matrix, and then using the multi-task Bayesian compression perception algorithm to solve a formula expressing a relation between the intermediate variable matrix and a scattering coefficient matrix of the sparse target scene so as to acquire an image of the sparse target scene.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to an inverse synthetic aperture radar imaging method, in particular to a sparse representation inverse synthetic aperture radar high-resolution imaging method capable of effectively processing large scenes, which can be used for moving target imaging, all-day , All-weather reconnaissance. Background technique [0002] Synthetic aperture radar (SAR) is the most common imaging radar. SAR is mainly used for moving radar platforms to image the ground, while inverse synthetic aperture radar (ISAR) is a high-resolution imaging radar. It is mainly used for stationary radar platforms to image the ground. The imaging of cooperative moving targets has the characteristics of all-weather, all-time and long-range effects, and plays an important role in the military and civilian fields. Traditional ISAR imaging is based on Fourier transform to obtain target imaging. To achieve high resolution, rel...

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/904G01S13/9064
Inventor 赵光辉孙爽爽沈方芳石光明
Owner XIDIAN UNIV
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