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

Biological heuristic algorithm based stealth target identification method of cognitive radar

A heuristic algorithm, cognitive radar technology, applied in the field of cognitive radar stealth target recognition based on biological heuristic algorithm, can solve problems such as waveform optimization

Inactive Publication Date: 2019-08-09
TIANJIN UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the most important problem of cognitive radar is the waveform optimization problem

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
  • Biological heuristic algorithm based stealth target identification method of cognitive radar
  • Biological heuristic algorithm based stealth target identification method of cognitive radar
  • Biological heuristic algorithm based stealth target identification method of cognitive radar

Examples

Experimental program
Comparison scheme
Effect test

specific example

[0075] A specific example of the present invention is as follows:

[0076] Cognitive radar stealth target recognition method:

[0077] Step 1: First use the method of physical optics to model the radar cross-sectional area of ​​the stealth target, and define it according to the radar cross-sectional area In the case of certain r and φ, find the θ that can maximize the radar cross-sectional area;

[0078] Step 2: Expand the radar cross-sectional area of ​​each triangular surface element in this direction

[0079] Step 3: Calculate the radar cross-sectional area of ​​the stealth extended target to be identified at a certain resolution;

[0080] Step 4: The transmitter transmits the waveform, and the receiver estimates the radar cross-sectional area of ​​the stealth extended target with the maximum a posteriori probability according to the received signal, and compares it with the actual one to calculate the minimum mean square error expression;

[0081] Step 5: The transmi...

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 relates to a biological heuristic algorithm based stealth target identification method of a cognitive radar, belongs to the technical field of cognitive radars, and aims at providing a biological heuristic algorithm based waveform optimization method which is simpler and more convenient and has a better effect compared with a present method. According to the method, a target scattering coefficient is estimated by using waveform information received by a radar receiver, maximal posterior probability estimation is used and then Kalman filtering is used for iterative estimation, theestimated target scattering coefficient is compared with a practical target scattering coefficient, a minimum mean squared error therebetween is calculated, a biological heuristic algorithm is used for solving by taking the sending waveform as a variable and the minimum mean squared error as a target function, and the sending form when the target function is minimal is obtained. The method is mainly applied to design and manufacture of the cognitive radar.

Description

technical field [0001] The invention belongs to the field of cognitive radar recognition, and its main feature is that the recognition target is a stealth target, and the radar cross-sectional area of ​​the stealth target is modeled by the method of physical optics, and specifically related to the detection of the stealth target, using Cognitive radar recognizes the stealthy extended target in the direction of the largest radar cross-sectional area, and applies the biological heuristic algorithm to the solution of the optimized objective function, which can better improve the recognition performance. Background technique [0002] Cognitive radar system is composed of transmitter, receiver and environment, and it is a closed-loop system [1]. One of the key functions of the receiver is to feed back the received environmental information to the transmitter, and the transmitter optimizes the transmitted waveform according to the feedback information, thereby continuously improvi...

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): G01S7/41G06F17/50
CPCG01S7/41G01S7/418G06F30/20
Inventor 汪清李萌高丽蓉郭钰章
Owner TIANJIN 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