Method for predicting ship trajectory

A track prediction and ship technology, applied in navigation, measurement devices, surveying and navigation, etc., can solve the problem of low accuracy of track prediction and achieve the effect of improving estimation accuracy

Inactive Publication Date: 2018-10-12
SHANGHAI MARITIME UNIVERSITY
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a ship track prediction method, which is used to solve the problem of low track prediction accuracy in the prior art, improve the estimation accuracy, and reduce the error range

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 predicting ship trajectory
  • Method for predicting ship trajectory
  • Method for predicting ship trajectory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0045] see Figure 1-5 . It should be noted that the diagrams provided in this embodiment are only schematically illustrating the basic idea of ​​the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the components in actual implementation. Dimensional drawing, the type, quantity and proportion of each component can be changed arbitrarily d...

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 predicting a ship trajectory. The method at least comprises the steps that current related information of a target ship is obtained from ship actual measurement data,wherein the related information at least comprises ship information,a course angle and an instant navigational speed; a ship position state is predicted through a distributed extend Kalman filter algorithm according to current information of the ship,wherein the prediction processes comprise that a discrete nonlinear system is established to be used for describing a target ship state and sensormeasurement,a variance constraint method is used for determine a Kalman gain matrix of each time node,state estimation and upper-bound matrix of the ship at a current moment are calculated to predictstate estimation and upper-bound matrix of the ship at the next moment,the state estimation and upper bound estimation of the ship are updated according to the state estimation and upper-bound matrixof the ship at the next moment,nonlinear consistency Kalman filtering is carried out by adopting a preset ship dynamic model to obtain ship position information at the next moment after filtering.

Description

technical field [0001] The invention relates to the technical field of ship track prediction, in particular to a ship track prediction method. Background technique [0002] With the rapid development of computer control technology, in the field of ship navigation prediction and control, people have successively developed various intelligent prediction algorithms to ensure the safety of ship navigation. In the multi-agent field system, the linearization error of EKF has not been solved. In the distributed extended Kalman filter, the variance constraint method is used to determine the Kalman gain matrix to deal with the linearization error. The nonlinear consensus protocol can be High speed convergence. Now this kind of distributed filter has been involved in numerical examples of indoor positioning of mobile robots and communication based on network data packet loss and event triggering. [0003] In order to solve the problem of ship track tracking linearization error, the ...

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): G01C21/20
CPCG01C21/203
Inventor 马利华刘轶华郭杰苑洋
Owner SHANGHAI MARITIME UNIVERSITY
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