Probability hypothesis density filter radar system error fusion estimation method based on ADS-B

A probability hypothesis density and radar system technology, applied in the field of sensor error registration, can solve the problems of filter error, reference source not found, and error fusion estimation method of probability hypothesis density filter radar system, etc., to achieve high estimation accuracy, Estimate the effect of good performance

Inactive Publication Date: 2014-12-24
CIVIL AVIATION UNIV OF CHINA
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In 2006, Vo questioned the Gaussian Mixture Model PHD (Gaussian Mixture PHD, GM-PHD) filter error! Reference source not found
But so far, no report has been found on the ADS-B-based probability assumption density filter radar system error fusion estimation method

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
  • Probability hypothesis density filter radar system error fusion estimation method based on ADS-B
  • Probability hypothesis density filter radar system error fusion estimation method based on ADS-B
  • Probability hypothesis density filter radar system error fusion estimation method based on ADS-B

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The ADS-B-based probability hypothesis density filter radar system error fusion estimation method provided by the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] figure 1 A flow chart of the error fusion estimation method for the ADS-B-based probability hypothesis density filtering radar system provided by the present invention. All the operations are completed in the computer system, and the main body of the operation is the computer system.

[0027] Such as figure 1 As shown, the ADS-B-based probability assumption density filtering radar system error fusion estimation method provided by the present invention includes the following steps carried out in order:

[0028] 1) Establish the S1 stage of the radar system error observation equation based on ADS-B:

[0029] In this stage, coordinate projection technology is used to first convert the ADS-B observation value of the target into th...

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 discloses a probability hypothesis density filter radar system error fusion estimation method based on ADS-B. The method includes the steps that a radar system error observation equation based on ADS-B is set up; a radar system error state equation is set up; a radar system error state and observation finite set is constructed; error fusion estimation is conducted on a probability hypothesis density filter radar system. According to the estimation method, firstly, the ADS-B of a target and the observation of a radar are converted to be in a rectangular coordinate system with the radar as the center, due to the fact that the monitoring precision of the ADS-B is far superior that the positioning precision of the radar, on the basis of not considering the positioning error of the ADS-B, the radar system error observation equation and the radar system error state equation based on the ADS-B are set up, then a probability hypothesis density filter is used for conducting fusion estimation on the measuring difference of the ADS-B and the radar, and therefore an estimation result of the radar system error is obtained. The probability hypothesis density filter radar system error fusion estimation method has the advantages of being high in estimation precision, good in estimation performance and the like.

Description

technical field [0001] The invention belongs to the technical field of sensor error registration, in particular to an ADS-B-based probability assumption density filter radar system error fusion estimation method. Background technique [0002] Radar observation errors are mainly divided into random errors and systematic errors. In the multi-radar fusion tracking system, radar system error estimation has become a prerequisite for multi-radar fusion processing, which will directly affect the performance of the entire system. Therefore, it is necessary to estimate the radar system error, so as to compensate the radar measurement accordingly. This process is also called error registration. The existing radar error estimation methods can be classified into two categories: offline estimation methods and online estimation methods. Among them, the off-line estimation method is to estimate the systematic error through data fitting of the radar observation data for a period of time, ...

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): G01S7/40
CPCG01S7/40
Inventor 章涛来燃吴仁彪陈敏
Owner CIVIL AVIATION UNIV OF CHINA
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