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Radar foresight super-resolution imaging method based on maximum entropy criterion

A technology of super-resolution imaging and maximum entropy, applied in the direction of radio wave reflection/re-radiation, using re-radiation, measuring devices, etc., can solve the problems of pathological noise sensitivity, etc., to alleviate pathological characteristics and facilitate noise suppression , to avoid inaccurate effects

Active Publication Date: 2018-03-09
XIDIAN UNIV
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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the ill-conditioned and noise-sensitivity problems commonly existing in the existing deconvolution super-resolution algorithms

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  • Radar foresight super-resolution imaging method based on maximum entropy criterion
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  • Radar foresight super-resolution imaging method based on maximum entropy criterion

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] like figure 1 As shown, the radar forward-looking super-resolution imaging method based on the maximum entropy criterion provided by the embodiment of the present invention includes the following steps:

[0050] S101: Dual-channel forward-looking scanning radar echo signal modeling;

[0051] S102: introducing entropy as the prior information of the target distribution, and establishing a maximum a posteriori imaging model based on the Bayesian criterion;

[0052] S103: The im...

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Abstract

The invention belongs to the radar foresight super-resolution imaging technical field, and discloses a radar foresight super-resolution imaging method based on the maximum entropy criterion; the method comprises the following steps: using dual-channel foresight scanning radar echo signals to modeling; introducing the entropy as target distribution prior information, and building a maximum posterior imaging model according to the Bayes criterion; employing an improved conjugate gradient method to solve the imaging model. The method combines with sum and difference channel processing so as to effectively alleviate single channel deconvolution problem inherent pathosis, and uses the entropy as the target prior information so as to prevent the echo prior information inaccurate problems, thus breaking the limits on the orientation resolution by the antenna aperture; the method uses the improved conjugate gradient method to carry out iteration solving for the foresight imaging result, is high in efficiency, thus realizing engineering high resolution foresight imaging.

Description

technical field [0001] The invention belongs to the technical field of radar forward-looking imaging, and in particular relates to a radar forward-looking super-resolution imaging method based on a maximum entropy criterion. Background technique [0002] Radar has the characteristics of all-weather, all-time and long-distance function. SAR has a wide range of applications in military and civilian fields such as missile guidance, earth observation, disaster monitoring and environmental protection. Side-looking and squint-looking SAR can perform high-resolution imaging of targets (scenes) on both sides of the carrier’s moving direction, and its good imaging performance has been widely studied and applied. The speed and direction of the radar platform are consistent, and the synthetic aperture cannot be formed in the azimuth direction, resulting in low azimuth resolution of the forward-looking imaging, which is difficult to meet the practical application requirements such as ai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S7/41
CPCG01S7/418G01S13/9023G01S13/9094G01S13/904G01S13/9043G01S13/9092
Inventor 包敏马静雯史林
Owner XIDIAN UNIV
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