A method of removing outliers from position information based on SVR algorithm

A technology of position information and position value, applied in computing, computer components, instruments, etc., can solve the problems of serious distortion of data processing results, unconvincing, and failure to effectively eliminate outliers, etc.

Active Publication Date: 2019-03-08
SOUTHEAST UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods can eliminate outliers to a certain extent, but if the parameters are not well selected, it is likely that the data proce

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 method of removing outliers from position information based on SVR algorithm
  • A method of removing outliers from position information based on SVR algorithm
  • A method of removing outliers from position information based on SVR algorithm

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0043] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0044] The invention provides a method for eliminating outliers of position information based on SVR algorithm. The idea of ​​SVR algorithm is to use the principle of structural risk minimization to replace the traditional empirical risk minimization principle, map samples to high-dimensional kernel space, and solve nonlinear problems. The linear problem of mapping to high-dimensional space, so as to perform linear regression in high-dimensional feature space, so as to use the SVR algorithm to eliminate the positional outliers caused by various errors in underwater acoustic positioning.

[0045] Step 1: First, obtain training data, obtain the historical position solution data of 4 times before the current time for the positions of the AUV at different times, and obtain a training data set. Among them, the data set at each moment inclu...

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 method of removing outliers from position information based on an SVR algorithm, and adopts the structural risk minimization principle, and in the process, first obtains historical position solution data of 1 time before AUV current time as training data set; then constructs the SVR regression model and determine the parameters of the SVR model to be constructed;then the relative position of AUV is solved by pure distance method and the condition parameters of AUV at the current time are substituted into SVR model to get the position prediction; and finally,whether the calculated position value is an outlier or not is determined by setting the trust degree; if the difference is greater than the set trust degree, the current calculated value is eliminated and the position value at the next time is returned; otherwise, the value is retained. The invention realizes the preprocessing of the position measurement data in the underwater acoustic positioning, reduces the error generated by the outliers and is beneficial to the subsequent filtering processing.

Description

technical field [0001] The invention relates to the field of elimination method of position information outliers, in particular to a method for elimination of position information outliers based on SVR algorithm. Background technique [0002] The pure distance method positioning in the USBL system measures the distance at multiple positions and combines the AUV heading information to calculate the position information. Through the AUV initial position p, the vertical distance d between the AUV and the underwater sound source emitter, the AUV's heading speed v and heading angle To calculate the position of AUV in real time. When positioning in USBL, due to the influence of underwater noise, reverberation, multi-path effect of sound propagation, Doppler effect, nonlinear distribution of sound velocity and other factors, positioning errors will inevitably occur, which will affect the accuracy of AUV navigation and positioning . Sometimes 1% to 5% or even as much as 10% to 2...

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): G06K9/62
CPCG06F18/2411G06F18/214
Inventor 张涛王帅翁铖铖杨阳袁杰张硕骁魏宏宇
Owner SOUTHEAST UNIV
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