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

An intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm

A technology for optimizing algorithms and forecasting systems, applied in radio wave measurement systems, radio wave reflection/re-radiation, and utilization of re-radiation, etc., can solve problems such as lack of intelligence and human factors

Inactive Publication Date: 2018-02-02
ZHEJIANG UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of traditional radar data processing, which are easily affected by human factors and lack of intelligence, the present invention provides an intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm that avoids the influence of human factors and has high intelligence.

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
  • An intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm
  • An intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm
  • An intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] refer to figure 1 , figure 2 , an intelligent radar sea clutter forecasting system based on an improved invasive weed optimization algorithm, including a database 2 connected to a radar 1, and a host computer 3, the radar 1, database 2, and host computer 3 are connected in sequence, and the radar 1 is connected to the host computer 3 Detect the sea area for irradiation, and store the radar sea clutter data in the database 2, and the host computer 3 includes:

[0064] The data preprocessing module 4 is used for radar sea clutter data preprocessing, which is completed by the following process:

[0065] 1) Collect N radar sea clutter echo signal amplitude x from the database i As training samples, i=1,...,N;

[0066] 2) Normalize the training samples to obtain the normalized amplitude

[0067]

[0068] Among them, minx represents the minimum value in the training sample, and maxx represents the maximum value in the training sample;

[0069] 3) Reconstruct the no...

Embodiment 2

[0117] refer to figure 1 , figure 2 , an intelligent radar sea clutter prediction method based on an improved invasive weed optimization algorithm, the method includes the following steps:

[0118] (1) The radar irradiates the detected sea area, and stores the radar sea clutter data into the database;

[0119] (2) Collect N radar sea clutter echo signal amplitude x from the database i As training samples, i=1,...,N;

[0120] (3) Normalize the training samples to obtain the normalized amplitude

[0121]

[0122] Among them, minx represents the minimum value in the training sample, and maxx represents the maximum value in the training sample;

[0123] (4) Reconstruct the normalized training samples to obtain the input matrix X and the corresponding output matrix Y respectively:

[0124]

[0125]

[0126] Among them, D represents the reconstruction dimension, D is a natural number, and D

[0127] The robust forecast model mo...

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 provides an intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm. The system comprises a radar, a database and an upper computer which are connected successively; the radar illuminates a detected sea area and stores radar sea clutter data into the database; the upper computer comprises a data preprocessing module, a robust forecasting model modeling module, an intelligent optimizing module, a sea clutter forecasting module, a discrimination model updating module and a result display module. Based on the chaotic characteristics of radar sea clutters, radar sea clutter data are reconstructed, non-linear fitting is performed on the reconstructed data, and an improved invasive weed optimization algorithm is introduced, so that an intelligent forecasting model for radar sea clutters can be built and radar sea clutters can be forecast online; the modeling method in the invention only requires fewer samples; the influence of human factors is reduced; the system and the method are highly intelligent and robust.

Description

technical field [0001] The invention relates to the field of radar data processing, in particular to an intelligent radar sea clutter forecasting system and method based on an improved invasive weed optimization algorithm. Background technique [0002] Sea clutter, that is, backscattered echoes from a patch of sea illuminated by radar transmissions. Because sea clutter severely restricts the detectability of radar echoes from "point" targets on or near the sea surface, such as navigational buoys and ice blocks floating on the sea, the study of sea clutter has a great impact on the ocean background. The detection performance of ships and other targets has a very important impact, so it has important theoretical significance and practical value. [0003] Habitual Shanghai clutter is regarded as a single random process, such as lognormal distribution, K distribution, etc. However, these models have their specific limitations in practical applications. One of the important rea...

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): G01S7/36G01S13/88
CPCG01S7/36G01S13/88
Inventor 刘兴高卢伟胜
Owner ZHEJIANG UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com