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

Radar sampling interval control method based on improved recurrence method

A technology of sampling interval and recursive method, which is applied in the direction of radio wave measurement systems and instruments, can solve the problems of unsatisfactory radio frequency stealth performance and reduce the total radiation energy, and achieve the effect of improving radio frequency stealth performance and increasing the average sampling interval

Pending Publication Date: 2020-02-14
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method solves the problem of unsatisfactory radio frequency stealth performance caused by only considering radar energy resource control from one angle, and this method can effectively improve the average sampling interval of the tracking process and reduce the total radiation under the condition that the target tracking effect is basically unchanged. Energy, reducing the probability of being intercepted, thereby improving the radio frequency stealth performance of airborne radar

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
  • Radar sampling interval control method based on improved recurrence method
  • Radar sampling interval control method based on improved recurrence method
  • Radar sampling interval control method based on improved recurrence method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] The accompanying drawing discloses a non-restrictive schematic structural view of a preferred embodiment of the present invention, and the technical solution of the invention will be described in detail below in conjunction with the accompanying drawings.

[0013] The inventive idea of ​​the present invention is to combine the sampling interval with the transmitting power and dwell time of the radar and introduce it into the interactive multi-model Kalman filtering algorithm to control the radar transmitting power and dwell time during the on-off and working of the radar in real time. In addition, in order to further improve the radio frequency stealth performance of the airborne radar, the invention proposes a new sampling interval algorithm, which can increase the average sampling interval of the radar tracking process.

[0014] The implementation of a new method of radar sampling interval control based on the improved recursive method is as follows: figure 1 As shown...

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 radar sampling interval control method based on an improved recurrence method. Firstly, a relation of change of radiant power and residence time of a radar with target distance is obtained based on a radar detection model and a passive interception theory; and for further reducing radiant power of the radar, radar sampling interval, as a time resource control strategy, isintroduced. The method provided by the invention has the advantage of determining the next moment of radar radiation according to a result of comparison between a threshold and a filtering residual value in an airborne radar filtering algorithm. By Monte carlo simulation, in comparison with other algorithms, a radar sampling interval control algorithm provided by the invention can obtain greateraverage sampling interval under premise of approximately identical precision, and is beneficial for improving radio frequency stealth performance of the radar.

Description

technical field [0001] The invention discloses an energy control method based on an interactive multi-model Kalman filter (IMMKF) algorithm to calculate filter residuals and determine an airborne radar sampling interval, and belongs to the technical field of radar target tracking and energy resource control. Background technique [0002] The improvement of radio frequency stealth performance for the radar target tracking process is mainly analyzed from the total radiation energy control strategy, which can be divided into power resource and time resource control. The power resource is mainly aimed at the control of the transmission power of the airborne radar during the tracking process, but blindly pursuing the reduction of the radar transmission power will require more time resources and may not be able to achieve a stable target tracking effect. Time resources are mainly divided into radar dwell time and sampling interval. In recent years, Markov decision-making methods a...

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): G01S7/02
CPCG01S7/02
Inventor 余思伟汪飞黄壮
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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