Threat assessment method for low, slow and small targets

Abstract

The invention relates to a threat assessment method for low, slow and small targets, and belongs to the technical field of threat assessment. The method comprises eight steps, wherein a consistency judgment method, a clustering method, an adaptive variable weight method and a TOPSIS method are adopted, a threat assessment system for low, slow and small targets is constructed, and the sorting accuracy is improved; expert group data is optimized through a consistency judgment method and a clustering method, expert cognitive limitations are evaluated, and the accuracy and reliability of an expertdatabase are effectively improved; blind areas and defects of expert experience data are made up through a self-adaptive variable weight method, and the sorting robustness is improved; and approximate ideal solution sorting is performed on each evaluation object through a TOPSIS method and the evaluation objects is accurately output. The problems that in the prior art, the threat levels cannot becorrectly sorted and accurately evaluated according to the characteristics of low, slow and small targets and complex application backgrounds, and the accuracy and robustness of threat sorting evaluation are poor due to the fact that weight values are allocated completely depending on expert experience and limitation is obvious are solved.

Description

technical field [0001] The invention relates to a threat assessment method for "low, slow and small targets", which belongs to the technical field of analysis and assessment. Background technique [0002] "Low, slow and small targets" is a collective term for various small aircraft and air drifters that fly at low or ultra-low altitudes and are relatively slow, and are hereinafter referred to as "low, slow and small targets". Common "low and slow small targets" include various types of drones, balloons, powered delta wings, cruise missiles, and small helicopters. Compared with medium and high-altitude targets, "low, slow and small targets" have very different target characteristics and application backgrounds, and the scene is complex, so it is impossible to use the existing threat ranking and evaluation methods for traditional targets to deal with the threat of "low, slow and small targets" ranks, and make accurate and valid assessments. In addition, in the processing of ...

AI Technical Summary

Problems solved by technology

Compared with medium and high-altitude targets, "low, slow and small targets" have very different target characteristics and application backgrounds, and the scene is complex, so it is impossible to use the existing threat ranking and evaluation methods for traditional targets to deal with the threat of "low, slow and small targets" ranks and make accurate and valid assessments

In addition, in the processing of weight values, the existing method of assigning weight values ​​that relies entirely on expert experience also has obvious limitations

At present, there are many methods for ranking threat levels, but in practical applications, the threat assessment effect for "low, slow and small targets" is not good

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