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

Method for tracking small target with high precision under complex background and low signal-to-noise ratio

A technology with low signal-to-noise ratio and weak targets, applied in the field of information processing, it can solve the problems of destroying the Iraqi army's fighting will, weak confrontation ability, and dare not use it.

Inactive Publication Date: 2010-03-24
BEIHANG UNIV
View PDF0 Cites 67 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, my country's air defense system is mainly established against conventional aircraft, so the ability to resist the above-mentioned targets is relatively weak, the main reason is that there are difficulties in the detection of the above-mentioned targets
In particular, the threat of anti-radiation missiles greatly restricts the application of air defense radars
According to reports, before the Iraq War in 2003, more than 80% of Iraq's air defense system was intact, but after the war broke out, Iraq's air defense weapons were almost useless. In his hands, as long as the Iraqi army's air defense radar is turned on, it will be attacked by the US anti-radiation missile within a few minutes. While destroying the Iraqi air defense system, the US army also destroyed the Iraqi army's will to fight. Therefore, although most of the Iraqi army's air defense weapons are intact It is non-destructive, but dare not use it, and becomes a pile of useless scrap iron
The main reason why the Iraqi air defense operations failed to function effectively is the lack of effective means of detection against US air threats

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 tracking small target with high precision under complex background and low signal-to-noise ratio
  • Method for tracking small target with high precision under complex background and low signal-to-noise ratio
  • Method for tracking small target with high precision under complex background and low signal-to-noise ratio

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0219] The high-precision tracking method for weak and small targets under the complex background and low signal-to-noise ratio of the present invention is applied to the self-developed multi-mode and multi-target precision tracking device to verify the performance indicators of the system. The multi-mode multi-target precision tracking device, such as figure 1 As shown: it consists of the following three parts: digital servo platform 1, comprehensive information processing platform 2, compression and transmission equipment 3; the high-precision tracking method for weak and small targets under complex background and low signal-to-noise ratio of the present invention is mainly realized in the comprehensive information processing platform accomplish. In this device:

[0220] 1) Digital servo platform

[0221] Such as figure 2 As shown, the digital servo platform 1 is composed of a CCD (Charge Coupled Device, that is, a charge-coupled device image sensor) camera 11, an infra...

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 a method for tracking a small target with high precision under a complex background and a low signal-to-noise ratio (SNR). The method comprises pre-treating an image under the complex background and low SNR, portioning and extracting the target based on a target adaptive threshold of the binomial distribution judgment rule, adopting a curve fitting algorithm based on Kalmanfilter thinking improvement to carry out motion prediction on the target, using data fusion of infrared and visible light transducers to improve detection probability of the target and reduce false-alarm probability, and when the shape of the target alters, using a shape of which edge characteristics are normalized to identify and seek characteristic invariables so as to achieve precise tracking of the target.

Description

(1) Technical field: [0001] The invention relates to a high-precision tracking method for weak and small targets under complex backgrounds and low signal-to-noise ratios, in particular to a pattern recognition and intelligent control, target automatic detection and recognition technology under complex backgrounds, image processing and data fusion methods, through visible light and The fusion of infrared information realizes the detection and tracking of weak and small targets in complex backgrounds, and belongs to the field of information processing technology. (two) background technology: [0002] In modern warfare, the extensive use of various precision-guided weapons has made air defense operations more and more difficult. The application of cruise missiles, stealth aircraft, armed helicopters, anti-radiation missiles, reconnaissance and attack drones has made the air defense situation more and more difficult. How to detect the incoming target and carry out an effective 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
IPC IPC(8): G01S17/66G01S17/87G01S7/48G01S7/495H04N5/33G06T5/00G06K9/62
Inventor 张弘王德奎王可东谢凤英贾瑞明穆滢刘晓龙王昕
Owner BEIHANG 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