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Closed-loop feedback judgment method of self-adaptive imaging of cognitive radar resource

A judgment method and closed-loop feedback technology, applied in the direction of reflection/re-radiation of radio waves, utilization of re-radiation, measurement devices, etc., can solve the problems of lack of objectivity and accuracy of evaluation quality, fixed evaluation methods, and no consideration of the objective relationship of evaluation indicators.

Active Publication Date: 2018-12-18
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0003] At present, the closed-loop feedback judgment standard for adaptive imaging of cognitive radar resources is mainly based on a few indicators such as the image correlation coefficient of the target, the target speed, direction, and size, and the judgment of the fixed weight is carried out, without considering the objective connection of the evaluation indicators. The evaluation method is relatively fixed, and the evaluation quality is not objective and accurate

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  • Closed-loop feedback judgment method of self-adaptive imaging of cognitive radar resource

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[0063] The specific implementation manners of the present invention will be further described below in conjunction with the drawings and examples, but the present invention is not limited.

[0064] The present invention adopts five targets in cognitive inverse synthetic aperture radar simulation imaging as an example of data processing.

[0065] figure 1 A schematic diagram of a target passing through a cognitive radar beam model is shown;

[0066] figure 2 A closed-loop feedback determination method for adaptive imaging of cognitive radar resources is shown, including the following steps:

[0067] (1) Obtain evaluation index data for priority targets, the specific process is as follows:

[0068] (1) For the acquisition of radar image quality indicators, four parameters, information entropy, average gradient, equivalent view number and mutual information, are used as indicators for radar imaging quality evaluation. For a simulated image with a pixel size of 450×350 , the ...

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Abstract

The invention discloses a closed-loop feedback judgment method of self-adaptive imaging of a cognitive radar resource, and relates to the technical field of the cognitive radar self-adaptive imaging.A problem of how to perform more objective and accurate assessment on the closed-loop feedback of the self-adaptive imaging of the cognitive radar resource is solved. The method comprises the following steps: (1) acquiring assessment index data of a priority target; (2) performing non-dimensionalization and assimilation processing on the assessment index; (3) performing priority sub-index assessment on image quality and resource consumption; and (4) assessing the target priority. By adopting the priority disclosed by the invention, the whole assessment result cannot be greatly influenced whensingle index is in error influence, the stability is stronger, and the assessment is more objective and accurate.

Description

technical field [0001] The invention relates to the technical field of cognitive radar adaptive imaging, in particular to a closed-loop feedback determination method for cognitive radar resource adaptive imaging. Background technique [0002] When using radar to detect a large number of targets, radar resources may not be able to meet the detection requirements of all targets. At this time, affected by different parameters such as target priority and detection quality, radar resources should be allocated reasonably for different targets. Cognitive radar technology is a technology that has the ability to adaptively allocate resources to targets with different characteristics, and can use radar resources more efficiently for imaging when resources are saturated. [0003] At present, the closed-loop feedback judgment standard for adaptive imaging of cognitive radar resources is mainly based on a few indicators such as the image correlation coefficient of the target, the target...

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Application Information

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IPC IPC(8): G01S13/90G01S7/40
CPCG01S7/40G01S13/9094G01S13/9064
Inventor 廖可非冯伟业欧阳缮马园李晶晶
Owner GUILIN UNIV OF ELECTRONIC TECH
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