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

Maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering

A weak target detection, interactive technology, applied in the direction of electromagnetic wave re-radiation, radio wave measurement system, measurement device, etc. ideal effect

Active Publication Date: 2018-02-16
GUILIN UNIV OF ELECTRONIC TECH
View PDF14 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] What the present invention aims to solve is the problem of target loss in the existing detection and tracking methods in the case of low signal-to-noise ratio (SNR) when weak and small targets undergo large maneuvers. Tracking method, which combines the interactive multi-mode method on the basis of Bernoulli particle filter, adopts the tracking algorithm before detection of particle filter, and realizes the precise detection and tracking of weak and small maneuvering targets

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
  • Maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering
  • Maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering
  • Maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific examples and accompanying drawings.

[0032] Reference attached figure 1 , the present invention is a kind of interactive multi-mode Bernoulli filtering mobile weak target tracking method before detection, and its specific steps are as follows:

[0033] Step 1, initialize the target state.

[0034] According to the target motion scene, set the target particles (including continuously surviving particles and new particles) and state parameters at the initial moment, including target position, speed, intensity, existence probability, model weight probability and weight of target sampling particles. The parameters set above are used as the initial distribution of the target, and the Gaussian distribution is used to sample a fixed number of initial surviving particles and new particl...

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 maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering. The maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering is characterized in that on the basis of Bernoulli particle filtering, an interactive multi-mode method is used to predict the sampling particle of each target state, and thena prediction particle is substituted into a traditional Bernoulli TBD (Track-before-Detect) algorithm to perform update estimation of the existing probability and distribution density of the targets.In the low signal to noise ratio situation, the maneuvering weak target Track-before-Detect method of interactive multi-mode Bernoulli filtering can effectively detect and track the weak maneuveringtarget, and can be more accurate in estimation of the target state.

Description

technical field [0001] The invention relates to the technical field of target detection and tracking, in particular to an interactive multi-mode Bernoulli filtering method for tracking before detection of maneuvering weak targets. Background technique [0002] The problem of infrared small target detection and tracking in complex background with low signal-to-noise ratio has been difficult to solve. The reason is that the obtained long-distance image, the target imaging area is small, the detected signal is relatively weak, and the target is submerged by a large amount of noise, resulting in the image The signal-to-noise ratio is very low, and the target cannot be detected from a single image, and the target may appear or disappear at unknown time points, and useful target features such as shape and texture cannot be obtained, making small target detection difficult. stand up. Single-frame image processing can no longer achieve reliable detection and tracking of the target,...

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): G01S7/48G01S17/66G01S17/89G06T7/20
CPCG01S7/4802G01S17/66G01S17/89G06T7/20G06T2207/20024
Inventor 吴孙勇刘义强薛秋条蔡如华宁巧娇孙希延纪元法
Owner GUILIN UNIV OF ELECTRONIC TECH
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