Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for configuring networking radar antennas by aid of combined state prediction and particle swarm optimization

An antenna configuration and networking radar technology, applied in the radar field, can solve problems such as reducing the amount of calculation

Active Publication Date: 2018-07-06
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the former change, it is indeed a feasible method to completely recalculate each time, but for the second, recalculation will ignore the laws between environments, which may have a great effect in reducing the amount of calculations. effect

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
  • Method for configuring networking radar antennas by aid of combined state prediction and particle swarm optimization
  • Method for configuring networking radar antennas by aid of combined state prediction and particle swarm optimization
  • Method for configuring networking radar antennas by aid of combined state prediction and particle swarm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049]The technical scheme adopted in the present invention is based on networking radar, using Kalman filter and multi-objective PSO algorithm, while effectively optimizing the radar site configuration, it can adaptively terminate the optimization calculation process according to the optimization result, including the following steps:

[0050] For the first three moments, they are regarded as independent of each other, and the optimal site configuration scheme is calculated using the traditional PSO method. Then you can enter the algorithm proposed in this paper:

[0051] S1. Using the prediction model of Kalman filter, according to the previous site optimization configuration plan, predict the approximate site optimization configuration plan at the next moment. The specific operation method is as follows:

[0052] The state vector of the site configuration scheme at the third moment is:

[0053]

[0054] in and are the antenna positions of the optimal site configurat...

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 method for configuring antennas on the basis of predicted networking radar in dynamic environments, belongs to the technical field of radar, and particularly relates to optimal configuration on networking radar sites by the aid of particle swarm optimization algorithms on the basis of state prediction in dynamic environments. The method has the advantages that the approximate locations of radar sites at new moments can be predicted according to optimal site configuration schemes at a previous moment in dynamic battlefield environments, then actual optimal site configuration schemes can be solved by the aid of PSO (particle swarm optimization) processes, accordingly, the computing time can be effectively shortened, wastage of computing resources can be prevented, and optimal configuration results of the radar sites at various moments in the dynamic environments can be quickly obtained.

Description

technical field [0001] The invention belongs to the field of radar technology, and in particular relates to optimizing the configuration of networked radar sites by using a particle swarm optimization algorithm based on state prediction in a dynamic environment. Background technique [0002] With the development of integrated electronic warfare, traditional radars working alone cannot complete multiple tasks, and their own survival has become an urgent problem to be solved, and a single radar cannot compete with electronic countermeasures systems. In this case, the multi-function radar network emerges as the times require. Relevant experts of the U.S. Air Force and Army generally believe that networking is the most promising anti-stealth and anti-jamming approach. The U.S. Army has concentrated its efforts on prioritizing the networking work to improve its surveillance and combat capabilities, and has studied the continuous improvement and perfection of the mature intellige...

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
IPC IPC(8): G06Q10/04G06N3/00
CPCG06N3/006G06Q10/04
Inventor 张天贤汪子钦王远航时巧崔国龙孔令讲杨晓波易伟
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products