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Maneuvering target ISAR imaging method utilizing compressed sensing

A mobile target, compressed sensing technology, applied in the direction of reflection/re-radiation of radio waves, use of re-radiation, measurement devices, etc., can solve the loss of Doppler frequency time information of scattered points, Doppler analysis imaging results in azimuth direction Blur and other problems, to achieve the effect of improving the imaging effect, reducing the requirements and improving the quality

Inactive Publication Date: 2012-12-26
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0010] However, since this compressed sensing method uses the Fourier basis to represent the radar signal, the Doppler analysis process of the signal is carried out globally in the entire time domain, and the time information of the Doppler frequency of each scattering point is lost.
When the ISAR observation is a maneuvering target, the Doppler frequency of each scattering point changes with time, resulting in distortion of Doppler analysis and blurring of imaging results in azimuth

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  • Maneuvering target ISAR imaging method utilizing compressed sensing
  • Maneuvering target ISAR imaging method utilizing compressed sensing
  • Maneuvering target ISAR imaging method utilizing compressed sensing

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[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] figure 1 A 9-point model for simulating maneuvering target ISAR echo data.

[0030] 1) Reference image 3 We first simulate the maneuvering target ISAR echo data S∈C 120×100 , where 120 sets of data are sampled in the range direction, and 100 sets of data are sampled in the azimuth direction.

[0031] 2) Perform range compression, motion compensation and migration correction on the echo data S to obtain the data S d ∈C 120×100 .

[0032] 3) Generate a Gaussian random matrix Φ∈R 50×100 , comparing Φ to S d Perform dimensionality reduction observations, namely:

[0033] Y = Φ · S d T , ( Y ∈ C 50 × 120 ...

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Abstract

The invention provides a maneuvering target ISAR (Inverse Synthetic Aperture Radar) imaging method utilizing compressed sensing. The method comprises the following steps: obtaining ISAR return wave data, and allowing the return wave data to be subjected to distance compression, motion compensation and migration correction so as to obtain a complex matrix Sd; generating a Gaussian random matrix Phi, and allowing the Sd to be subjected to reduced-order observation so as to obtain a matrix Y; obtaining a sparse basis matrix of ISAR to-be-imaged times ti; solving each column of the matrix Y through a 1-norm convex optimization equation so as to obtain ISAR image results of times ti; and traversing all imaging times, so as to realize the ISAR imaging of a maneuvering target at all periods. The imaging method lowers the requirement on imaging return wave sampling rate, realizes free imaging of the maneuvering target at all imaging times, and improves no only the azimuth imaging effect of the maneuvering target, but also the ISAR imaging quality.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to a design method for realizing ISAR imaging of a maneuvering target by using compressed sensing. Background technique [0002] The target detection and recognition technology with the help of radar imaging has all-weather and all-weather working characteristics. Inverse synthetic aperture radar (ISAR) imaging can be used for imaging research on various stars in radio astronomy, and can also be used for air traffic control and ports of civil aviation airports scene surveillance and other fields. However, the resolution of ISAR imaging results is affected by the sampling rate of echo data. In order to break through the sampling frequency requirements of imaging, an ISAR imaging technology using compressed sensing algorithm imaging is designed, so that ISAR echoes with a limited amount of data can still be obtained more accurately. General ISAR imaging algorithm hi...

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Application Information

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IPC IPC(8): G01S13/90
Inventor 谢红梅王保平陈春利谭歆王志成孙超
Owner NORTHWESTERN POLYTECHNICAL UNIV
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