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Improved artificial bee colony algorithm-based task scheduling method for cooperative electronic jamming

An artificial bee colony algorithm and task scheduling technology, applied in the field of collaborative interference, can solve problems such as rare research work on ABC algorithm improvement, insufficient quality of time-efficient solutions, and no relevant descriptions.

Inactive Publication Date: 2017-05-10
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Since the ABC algorithm is a new type of bionic intelligent optimization algorithm, there is not much research on the improvement of the ABC algorithm.
Moreover, the existing models and solving algorithms for cooperative electronic jamming task scheduling are deficient in both time efficiency and solution quality.
Therefore, there is an urgent need for a task scheduling method suitable for solving cooperative electronic interference, but there is no relevant description in the prior art

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  • Improved artificial bee colony algorithm-based task scheduling method for cooperative electronic jamming
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  • Improved artificial bee colony algorithm-based task scheduling method for cooperative electronic jamming

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[0054] combine figure 1 , a kind of cooperative electronic jamming task scheduling method based on improved artificial bee colony algorithm of the present invention, comprises the following steps:

[0055] Step 1, according to the quantitative calculation method of the task scheduling evaluation index set and the interference effect evaluation index, comprehensively analyze the interference effect of the UCAV on the target radar, and carry out normalization processing; the quantitative calculation method of the interference effect evaluation index is:

[0056] Step 1-1. Determine the cooperative interference suppression probability q jp (ej i,j ), the formula used is:

[0057]

[0058] Among them, α and β represent the experience value constants determined by the target type, and pow jp (i) refers to the interference signal power, pow ds (j) is the target echo power;

[0059] Step 1-2. Determine the cooperative interference coverage space q js (ej i,j ), the formula ...

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Abstract

The invention provides an improved artificial bee colony algorithm-based task scheduling method and belongs to the field of cooperative jamming. The method comprises the steps of firstly, giving a task scheduling assessment index set and jamming effect assessment index quantitative calculation method by integrating analysis jamming effects of a UCAV (Unmanned Combat Air Vehicle) on target radars, and performing normalization processing; secondly, determining task scheduling constraint conditions of cooperative jamming, and building a cooperative electronic jamming task scheduling model (CEJ-TSM); thirdly, solving the CEJ-TSM by adopting an improved global artificial bee colony (IGABC) algorithm; and finally, obtaining a cooperative electronic jamming task scheduling scheme according to a result of the IGABC algorithm. According to the method, the search capability of an optimal solution can be remarkably improved for the problem in task scheduling for cooperative jamming of the UCAV for the multiple enemy radars, and the efficiency and accuracy of generating the task scheduling scheme are improved.

Description

technical field [0001] The invention relates to the field of cooperative jamming, in particular to a coordinated electronic jamming task scheduling method based on an improved artificial bee colony algorithm. Background technique [0002] The research on the cooperative interference task scheduling problem is essentially the research on the WTA problem. Its content also mainly includes three aspects: the selection of interference effect evaluation index, the establishment of task scheduling model and the calculation of the optimal solution of the objective function. [0003] Due to the complexity of radar signal transmission and processing technology, the evaluation indicators for jamming by jammers are also multi-faceted. The selection of different evaluation indicators will have different effects on the selection of cooperative task interference scheduling schemes, resulting in different final interference effects. The interference effect evaluation criterion mainly refe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06F30/20G06F2111/10G06N3/126
Inventor 庄毅娄艳秋顾晶晶
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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