Supercharge Your Innovation With Domain-Expert AI Agents!

A Phased Array Beam Residence Scheduling Method Based on Scheduling Profit and Genetic Algorithm

A technology of beam dwelling and scheduling benefits, applied in the field of adaptive beam dwelling scheduling, can solve problems such as the inability to guarantee the uniqueness of the comprehensive priority of tasks

Active Publication Date: 2022-03-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the problem that the current comprehensive priority allocation method does not combine the three factors of work mode priority, deadline and target threat degree, and the problem that the linear weighting method cannot guarantee the uniqueness of the comprehensive priority of each task, the present invention will comprehensively consider The comprehensive priority assignment method of task work priority, deadline and target threat degree is combined with genetic algorithm to form a phased array beam dwell scheduling method based on new scheduling income and genetic algorithm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Phased Array Beam Residence Scheduling Method Based on Scheduling Profit and Genetic Algorithm
  • A Phased Array Beam Residence Scheduling Method Based on Scheduling Profit and Genetic Algorithm
  • A Phased Array Beam Residence Scheduling Method Based on Scheduling Profit and Genetic Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] In the present invention, comprehensively considering the impact of task priority, deadline and target threat on task priority, a comprehensive priority allocation method integrating three influencing factors is proposed, and a beam dwell scheduling optimization model is established. A genetic algorithm is used to solve the problem, and a phased array beam dwell scheduling method based on comprehensive priority is formed. Firstly, the target threat model is used to comprehensively express the various attributes of the target with a function to reflect the target threat degree; secondly, the two-dimensional priority table is used twice, and the three types of work method priority, deadline and target threat degree The factors constitute the comprehensive priority of tasks; then, considering the comprehensive priority, the effectiveness of scheduling tasks, pulse interleaving technology, time and energy constraints, an optimization model of beam dwell scheduling is establi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a phased array beam dwell scheduling method based on scheduling revenue and genetic algorithm, which belongs to the field of phased array radar resource management, and in particular relates to a method for implementing adaptive beam dwell scheduling by using task priority and scheduling strategy . Based on the target threat model, the present invention first expresses the target attribute information with a threat degree function, and secondly utilizes the idea of ​​a two-dimensional priority table, and uses the two-dimensional priority table to adopt a non-linear weighting method to calculate the working mode priority, deadline and threat The three parameters are synthesized into the comprehensive priority, which ensures the uniqueness of the comprehensive priority. Then combine it with the effectiveness function of task scheduling to form a new scheduling benefit, and build a scheduling optimization model based on it, which considers pulse interleaving technology, time and energy constraints, and finally uses genetic algorithm to solve this nonlinear optimization problem. The phased array beam dwell scheduling method based on the new scheduling income proposed by the present invention can effectively reduce the loss rate of tasks, increase the realization value rate and correction value rate, and at the same time, the execution threat rate and time utilization rate are also improved.

Description

technical field [0001] The invention belongs to the field of phased array radar resource management, in particular to a method for implementing adaptive beam dwell scheduling by using task priority and scheduling strategy. Background technique [0002] Phased array radar is widely researched and applied at present. Because its beam can be directed at will and can be changed within microseconds, it has multi-function, multi-target and highly adaptive capabilities, and is extremely flexible (see Literature: Zhang Guangyi. Phased Array Radar System [M]. National Defense Industry Press, 1994.). In order to give full play to the combat performance of phased array radar, it is necessary to implement effective beam dwell scheduling. In the radar beam dwell scheduling, the main factors affecting its performance include: assignment of task priority and selection of scheduling strategy. [0003] The allocation of task priority is the basis of beam dwell scheduling. In the traditiona...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06N3/12
CPCG06N3/126G06Q10/04G06Q10/06312
Inventor 程婷陆晓莹魏雪娇彭瀚苏洋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More