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

Intensity filter-based multi-extended target tracking method

A multi-expansion target and filter technology, which is applied in the direction of radio wave reflection/re-radiation, instruments, radio wave measurement systems, etc., can solve problems such as inability to accurately track multiple expansion targets, and achieve a wide range of applications

Active Publication Date: 2016-10-26
XIDIAN UNIV
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a multi-extended target tracking method (ET-iFilter) based on the intensity filter, which is used to solve the existing multi-extended target tracking method, where the clutter intensity is unknown Technical issue where multiple extended targets were not accurately tracked when the state of the nascent target was unknown

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
  • Intensity filter-based multi-extended target tracking method
  • Intensity filter-based multi-extended target tracking method
  • Intensity filter-based multi-extended target tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

[0030] refer to figure 1 , the specific implementation steps of the present invention include as follows:

[0031] Step 1. Build an augmented space model

[0032] Build an augmented space model S + =S∪S φ , where S + Represents the augmented space, S represents the target state space, S φ represents the clutter space, and φ represents the clutter. The augmented space model is realized by adding a state transition function in the state space, and the state transition function ψ t (φ|x) represents the probability of the target disappearing, the state transition function ψ t (x|φ) represents the target newborn probability, the state transition function ψ t (φ|φ) represents the clutter transition probability, the state transition function ψ t (y|x) represents the target transition probability, where x, y belong to the target state space, and φ belo...

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 an intensity filter-based multi-extended target tracking method. The objective of the invention is to solve the problem of incapability of carrying out accurate multi-extended target tracking with clutter intensity unknown and newly generated target states unknown. The method includes the following steps that: an expanded space model is built, mutual transformation of clutters and targets is realized; a target particle set and clutter intensity are initialized; a survived target particle set is predicted, a newly generated target particle set is initialized, the clutter intensity is predicted, and measurement intensity is predicted; measurement division is carried out an extended target measurement set; the target particle set and the clutter intensity are updated; the updated target particle set is re-sampled; and the states of targets are obtained by adopting a k-means clustering method. The method of the invention has a wider application field, can not only capture the position state information of unknown newly generated targets, but also can update the intensity of unknown clutters in real time while accurately estimating the states of the targets, and can be applied to fields such as radar signal processing.

Description

technical field [0001] The invention belongs to the technical field of information processing, and relates to a multi-extended target tracking method with unknown newborn targets in an unknown clutter environment, in particular to an intensity filter-based multi-extended target tracking method, which can be used in the fields of radar signal processing and the like. Background technique [0002] In the field of traditional multi-target tracking, the target is usually regarded as a point target, that is, each target produces at most one measurement at each observation time. With the continuous development of modern sensor technology, when the target is close to the sensor or the target is large, multiple measurements may be generated for each target at each observation time, and this target is called an extended target. Research on the continuous tracking of multi-extended targets whose number of targets is unknown and changing is the key point in the field of target tracking...

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): G01S13/66G01S7/41
CPCG01S7/414G01S13/66
Inventor 李翠芸桂阳姬红兵
Owner XIDIAN 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