Interference decision-making method based on directional mutation search artificial bee colony algorithm

An artificial bee colony algorithm and directional mutation technology, applied in computing, computing models, artificial life, etc., to achieve strong practicability, performance improvement, and good robustness

Pending Publication Date: 2021-06-08
HARBIN ENG UNIV
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Problems solved by technology

However, the selection of parameters and convergence speed have yet to be optimized.

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  • Interference decision-making method based on directional mutation search artificial bee colony algorithm
  • Interference decision-making method based on directional mutation search artificial bee colony algorithm
  • Interference decision-making method based on directional mutation search artificial bee colony algorithm

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Embodiment Construction

[0025] This embodiment provides an interference decision-making method based on directional mutation search artificial bee colony algorithm, the main steps are:

[0026] Step 1: Through the five aspects of time, space, power, frequency and interference pattern, use the fuzzy comprehensive evaluation method to evaluate the jammer and radar one-on-one, and construct a profit matrix.

[0027] Step 1.1: The calculation method of each evaluation index is as follows:

[0028] Time: The time domain description is described using the interference opportunity index, and this scheme uses the suppression time benefit function to express it. Suppose radar R j (j=1,2,...,n) signal pulse width is [t r1 ,t r2 ], jammer u i (i=1,2,...,m) The duration of effectively jamming the radar is [t j1 ,t j2 ]. The time benefit function expression is as follows:

[0029]

[0030] Space: For the description of the space domain, the degree of overlap between the jammer antenna and the radar ant...

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Abstract

The invention relates to an interference decision-making method based on a directional mutation search artificial bee colony algorithm, and the method comprises the steps: firstly carrying out the one-to-one evaluation of a jammer and a radar through the five aspects of time, space, power, frequency and interference pattern, and constructing an interference benefit matrix Bij through the benefit values obtained through the evaluation; secondly, performing threat level evaluation pj on the radar according to the working state of the radar, the radar system and the actual combat mission of the radar through a front reconnaissance plane; constructing a radar interference decision model and a target function by using the interference benefit matrix, the radar threat level and the constraint condition; and finally, performing solving through an artificial bee colony algorithm based on directional mutation search to obtain an optimal distribution scheme and an interference income value; and then issuing tasks to all jammers according to the optimal scheme. The method is suitable for interference resource task allocation under the condition that the multiple jammers cooperatively interfere with the networking radar, the number of iterations is reduced, meanwhile, the average profit value is larger, the optimization searching probability is improved, and the practicability is very high.

Description

[0001] (1) Technical field [0002] The invention belongs to the technical field of cooperative interference task allocation and decision-making in electronic countermeasures, and in particular relates to an interference decision-making method based on a directional mutation search artificial bee colony algorithm. [0003] (2) Background technology [0004] With the increasingly complex electromagnetic environment, various modes of multi-party coordinated interference have become the main way of electronic warfare attacks. The traditional point-to-point interference resource allocation algorithm is not suitable for the modern warfare environment due to its low efficiency. With the development of intelligent decision-making technology, coordinated interference will become the trend of confrontation. Appropriate decision-making schemes can provide sufficient guarantee for the next combat mission, and can also maximize the combat effectiveness of the existing interference resource...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/00G06F30/27
CPCG06N3/006G06Q10/0631G06F30/27
Inventor 叶方赵彤李一兵孙骞田园
Owner HARBIN ENG UNIV
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