A tracking method for a moving frogman

A frogman and motion technology, applied in the field of target state estimation, can solve the problems of low tracking accuracy and poor stability, and achieve the effects of high tracking accuracy, strong stability, and improved operating speed

Active Publication Date: 2017-11-21
INST OF ACOUSTICS CHINESE ACAD OF SCI
View PDF5 Cites 0 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 shortcomings of low tracking accuracy and poor stability in the existing frogman tracking method, and utilize the motion characteristics of "low motion speed and high direction change rate" of the underwater frogman to propose a new method for the frogman. A tracking method based on interactive fusion of multi-motion direction models for specific targets to achieve higher precision and more stable estimation of frogman target states

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
  • A tracking method for a moving frogman
  • A tracking method for a moving frogman
  • A tracking method for a moving frogman

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Based on the comprehensive analysis of the characteristics of the frogman's movement, the present invention establishes a multi-directional motion model set describing the frogman's motion, and integrates the motion model set into an interactive multi-model (IMM) algorithm, and utilizes multiple groups of parallel filter estimation The method realizes the state estimation of the frogman under the multi-directional motion model, and finally, according to the updated model probability, the estimation results of each model are fused to complete the state estimation of the frogman.

[0056] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0057] The method of the present invention is based on the assumption that the frogman moves in a two-dimensional plane, ignoring the height information.

[0058] like figure 1 Shown, a kind of tracking method of sports frogman, described method comprises:

[...

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 present invention relates to a kind of tracking method of moving frogman, said method comprises: step 1) receiving the observation value of frogman state at tk+1 moment; Step 2) establishing the movement model set of multi-directional movement of frogman at tk moment; Step 3 ) Calculate the initial value of the frogman state estimation and the covariance estimation initial value of each motion model according to the motion model set at tk+1 moment; Step 4) estimate the initial value and the initial value of the frogman state of each motion model at tk+1 moment Input the initial value of covariance estimation into several filters, and calculate the frogman state estimation and covariance estimation of each motion model in combination with the observation value of frogman state at tk+1 moment; step 5) each movement The model’s frogman state estimation and its covariance estimate update the probability of each motion model at time tk+1; step 6) perform fusion estimation on the frogman state according to the updated probability of each motion model, and obtain the frogman state at tk+1 time Estimates of human states and their covariances. The method of the invention has the characteristics of high precision and strong stability.

Description

technical field [0001] The invention belongs to a target state estimation method, in particular to a tracking method for a moving frogman. Background technique [0002] During the Cold War, countries were on war alert, and the objects of maritime detection and defense were mainly large targets such as ships and submarines of hostile countries. With the end of the Cold War, especially after the disintegration of the former Soviet Union, underwater diving technology developed rapidly, and the frogman troops came into being. The so-called divers are soldiers who are responsible for underwater reconnaissance, blasting and performing special combat tasks. , because the equipment they carry has swimming tools in the shape of frog feet, so they are called "frogmen". Due to the weak target scattering intensity of frogmen and the significant "asymmetrical" advantages of frogmen's destructive activities, at present, using frogmen to carry out terrorist attacks has become an important...

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 Patents(China)
IPC IPC(8): G01S15/66
Inventor 许枫纪永强杨娟唐浩
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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