Supercharge Your Innovation With Domain-Expert AI Agents!

Chaotic sequence anti-interference waveform design method based on adaptive binary particle swarm genetic algorithm

An adaptive binary and chaotic sequence technology, applied in the field of signal processing, can solve the problems of long optimization time, low algorithm efficiency, long iteration time for solving coding sequences, etc., and achieves the effect of improving anti-interference performance and improving search efficiency.

Pending Publication Date: 2021-05-07
XIDIAN UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the main disadvantages of this method are low algorithm efficiency, long optimization time, and when the number of transmitted waveforms is large, the iterative time for solving the coding sequence is long, and the orthogonality becomes poor. many waveforms

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
  • Chaotic sequence anti-interference waveform design method based on adaptive binary particle swarm genetic algorithm
  • Chaotic sequence anti-interference waveform design method based on adaptive binary particle swarm genetic algorithm
  • Chaotic sequence anti-interference waveform design method based on adaptive binary particle swarm genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to further explain the technical means and effects that the present invention takes to achieve the intended purpose of the invention, in conjunction with the accompanying drawings and specific implementation methods, a kind of chaotic sequence anti-jamming waveform design based on adaptive binary particle swarm genetic algorithm proposed according to the present invention The method is described in detail.

[0051] The aforementioned and other technical contents, features and effects of the present invention can be clearly presented in the following detailed description of specific implementations with accompanying drawings. Through the description of specific embodiments, the technical means and effects of the present invention to achieve the intended purpose can be understood more deeply and specifically, but the accompanying drawings are only for reference and description, and are not used to explain the technical aspects of the present invention. program is...

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 chaotic sequence anti-interference waveform design method based on an adaptive binary particle swarm genetic algorithm. The method comprises the following steps: randomly generating a group of binary codes to form an initial population, converting the binary codes into a decimal system, normalizing the decimal system to serve as an initial value of a chaotic sequence, and generating a group of random numbers as the speeds of individuals in the initial population; performing mature operation on parent individuals in the population by using a binary particle swarm algorithm with an adaptive inertia weight; carrying out crossover and mutation operation on chromosomes in the population by utilizing the adaptive binary genetic algorithm; performing elite retention operation; and continuing to evolve, and when the evolutionary algebra reaches the set maximum evolutionary algebra, taking the chromosome of the current generation population as an initial value for generating the chaos sequence. The method has local search and global search capabilities, search efficiency can be improved under the condition of maintaining population diversity, and a chaotic sequence with relatively good anti-interference performance is generated.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a chaotic sequence anti-interference waveform design method based on an adaptive binary particle swarm genetic algorithm. Background technique [0002] Radar is an electronic system that can obtain target location and other information by transmitting and receiving electromagnetic waves, and realize the detection, identification and tracking of targets all day and all day. With the increasingly complex electromagnetic environment on the battlefield and the development of radar interception technology, the performance and survivability of radar detection targets are facing severe tests. Make higher and higher demands. Therefore, the designed waveform itself has anti-intercept performance, which plays an important role in the low intercept performance of the radar. In the case of a large time-width bandwidth product, the phase-encoded signal has a large main...

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 Applications(China)
IPC IPC(8): G01S7/36G06F30/27G06N3/00G06N3/12G06N7/08
CPCG01S7/36G06F30/27G06N3/006G06N3/126G06N7/08
Inventor 包敏王咫毅郭亮李亚超邢孟道史林
Owner XIDIAN UNIV
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