Infrared multi-target threat sequencing method based on equivalent evaluation factors

Abstract

The invention relates to an infrared multi-target threat sequencing method based on equivalent evaluation factors. The method comprises the steps that a, threat indexes of targets in an infrared system are selected, and fuzzy membership is calculated; b, a contrast matrix of multiple equivalent evaluation factors is constructed for each target; c, evaluation values of the n equivalent evaluation factors for each target are solved according to the optimal constraint planning principle of least squares; d, an entropy method is utilized to finally determine and calculate entropy weights of all the equivalent evaluation factors in an evaluation system; e, threat degrees of the targets in the threat evaluation system of the infrared system are calculated and evaluated, sequencing is performed, and attention is paid to the targets with higher threat degrees. According to the method, evaluation can be directly performed through actual parameters acquired by the infrared system, and therefore rapidity of target threat evaluation is improved; threat index weights are adjusted according to the motion states of the targets, so that inaccuracy brought by subjective judgment is lowered, and application of the infrared system to extraction, discrimination and other aspects of emphasized targets is further strengthened.

Description

technical field [0001] The invention relates to a data processing method based on actual parameters of an infrared system, in particular to an infrared multi-target threat sorting method based on an equivalent evaluation factor. Background technique [0002] At present, the research on threat assessment technology mostly uses radar as the carrier, and uses various air flight parameters obtained by radar as a reference, including flight speed, heading, target type, etc., to conduct threat assessment on the measured target, which has a good effect. Among them, multi-attribute decision-making method, fuzzy logic method, Bayesian network and other methods, and analytic hierarchy process have good evaluation results. [0003] When the above method is applied in practice, it is difficult to ensure that all required threat indicators can be obtained, so the fuzziness of information needs to be considered. However, the artificial comparison and weighting in the traditional AHP has ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an infrared multi-target threat sorting method based on equivalent evaluation factors to solve the problem of difficult identification and inaccurate identification of multiple targets in the infrared system, thereby improving the performance of the infrared system in key target identification and extraction. Effects in application

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