Pre-detection tracking method for weak extension target

A technology of extended target and pre-tracking, applied in the field of target detection and tracking, which can solve problems such as inability to meet, estimation algorithm failure, etc.

Inactive Publication Date: 2019-07-09
NAT UNIV OF DEFENSE TECH
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Such assumptions are often difficult to satisfy due to the often non-cooperative nature of detection targets
Therefore, some scholars have introduced the idea of ​​parameter estimation to estimate the target and noise power through the method of maximum likelihood estimation (MLE), but there are at least two problems

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
  • Pre-detection tracking method for weak extension target
  • Pre-detection tracking method for weak extension target
  • Pre-detection tracking method for weak extension target

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to better illustrate the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. figure 1 It is a tracking-before-detection method for weakly extended targets of the present invention, wherein it is a particle filter approximation implementation of the method, comprising the following steps:

[0051] Step 1 Initialize the filter: The initialization step involves determining the system model and parameters, and setting the prior information of the system.

[0052] (1.1) According to the kinematic characteristics of the target (such as uniform motion or uniform acceleration motion) and the data acquisition method of the sensor, define the target dynamic model x k =f(x k-1 )+w k and the sensor intensity measurement model z k =h(x k )+v k , where x k is the state vector of the target at time k, f(·) is the target state transition function, ...

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 belongs to the technical field of target detection and tracking, and particularly discloses a pre-detection tracking method for a weak extension target. Under a Bayesian filtering framework, a particle approximation means is used for recursion prediction and updating of a target state, so that the detection and tracking of the weak extension target are realized; in the updating step,intensity measurement data of resolution units occupied by the target is accumulated through particles; after the accumulated length reaches a set value, the power of each resolution unit occupied bythe target is estimated; and the weights of the particles are updated by taking the power as parameters of a likelihood function. According to the method, the weak extension target can be detected and tracked without target prior information, so that the complicated nonlinear parameter estimation process of a traditional method is avoided; meanwhile, no specific requirement is raised for the typeof the intensity measurement data; and the method can be widely applied to various civilian and military systems such as a video monitoring system, a robot navigation system, a military target detection and tracking system and the like, and has a wide market prospect and application value.

Description

technical field [0001] The invention relates to the technical field of target detection and tracking, and more specifically, to a tracking-before-detection method for weakly extended targets. Background technique [0002] In the context of the increasing demand for civilian surveillance and military reconnaissance, sensors are required to have rapid detection and robust tracking capabilities for weakly extended targets. Under the condition of low signal-to-noise ratio, compared with the traditional detection-then-tracking (TAD) technology, the tracking-to-detection (TBD) technology can realize the joint detection and tracking of the target more effectively. TBD technology was first applied to the target detection of infrared image sequence by Maybeck in 1983, and has been widely used in the field of radar detection since then. The basic idea of ​​TBD technology is to improve the signal-to-noise ratio of target detection and realize joint detection and tracking of weak targe...

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): G01S13/66G01S7/41
CPCG01S7/41G01S13/66
Inventor 杨威余若峰付耀文龚婷
Owner NAT UNIV OF DEFENSE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap