A method for assessing the degree of target threat

A technology of threat level and target, applied in the field of data fusion, to achieve the effect of accelerating the convergence speed and accuracy, avoiding the mathematical calculation process, and reducing the complexity

Inactive Publication Date: 2011-12-28
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems existing in the existin

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  • A method for assessing the degree of target threat
  • A method for assessing the degree of target threat
  • A method for assessing the degree of target threat

Examples

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Embodiment Construction

[0015] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific implementation examples.

[0016] The present invention takes my aircraft to find the target in the process of flying in the air as an example, and the schematic diagrams of the two states are as follows: figure 1 Shown, judge the threat degree of target to my machine with the method of the present invention.

[0017] S1. Establish a threat assessment quantitative model and determine the threat index of the threat assessment factors;

[0018] In this example, the threat index includes: height threat index, distance threat index, angle threat index, speed threat index, and target type threat index. The specific calculation process is as follows:

[0019] (1) High threat index

[0020] T h ij = 1.0 , ...

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Abstract

The invention belongs to the technical field of data fusion, and discloses a method for evaluating a target threat degree. The method comprises the following steps of: firstly, establishing a threat evaluation quantifying model, and determining a threat index of each threat factor; secondly, initializing a BP (Back Propagation) neural network structure by using the threat index; and lastly, determining an initial weight and threshold value of a BP neural network according to a PSO (Particle Swarm Optimization) algorithm to obtain a threat evaluation degree. In the method, the target threat degree is evaluated by combining the BP neural network with the PSO algorithm, i.e., the initial weight and threshold value of the BP neural network are determined with the PSO algorithm, and then the convergence rate and convergence accuracy of the BP neural network are further accelerated, so that a BP nerve is prevented from being in a local minimum value, and the complexity is lowered on the basis of enhancing the intellectuality.

Description

technical field [0001] The invention belongs to the technical field of data fusion, and in particular relates to a method for evaluating the threat level of a target. Background technique [0002] Data fusion is a comprehensive information processing technology. It uses the complementarity and redundancy of multi-source data to fuse various information provided by each sensor, thereby improving the reliability of data. As an application direction of information fusion, threat assessment is getting more and more attention no matter in traffic, network security or in air defense security and air defense operations. Internationally, civil aviation has become the first choice for terrorists to carry out terrorist activities. The scope of air defense has expanded to the whole world, and the objects that endanger air defense safety will become high-tech armed forces or even direct attacks by armed forces. How to deal with the new situation of air defense security is a severe test...

Claims

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Application Information

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IPC IPC(8): G06N3/08
Inventor 陈华张可全丽张伟
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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