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

Error joint estimation method for GM-EPHD filtering radar system based on ADS-B data

An ADS-B, radar system technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as joint estimation of density filter radar system errors, and achieve the effect of good estimation performance and high estimation accuracy

Inactive Publication Date: 2015-08-19
CIVIL AVIATION UNIV OF CHINA
View PDF7 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But so far there is no report on joint estimation of radar system error using probability assumption density filter of ADS-B

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
  • Error joint estimation method for GM-EPHD filtering radar system based on ADS-B data
  • Error joint estimation method for GM-EPHD filtering radar system based on ADS-B data
  • Error joint estimation method for GM-EPHD filtering radar system based on ADS-B data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The GM-EPHD filter radar system error joint estimation method using ADS-B data provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] figure 1 It is a flow chart of the joint estimation method of GM-EPHD filter radar system error using ADS-B data 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.

[0024] like figure 1 As shown, the GM-EPHD filtering radar system error joint estimation method utilizing ADS-B data provided by the present invention comprises the following steps carried out in order:

[0025] 1) Establish the S1 stage of the ADS-B of the target and the observation equation of the radar:

[0026] In this stage, coordinate projection technology is used to convert the ADS-B observation value of the target into the Cartesian coordinate system centered on the position...

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 error joint estimation method for a GM-EPHD filtering radar system based on ADS-B data. Firstly, the ADS-B observed values of a target is converted in a rectangular coordinate system with the position of a radar station as a center thereof to establish an ADS-B and radar observation equation of the target. A state transition equation of the target and the radar system error is established in the linear gaussian condition, and the radar system error is expanded to a target state to form an extended state. The gaussian hybrid-probability assumed density filtering on the target state is conducted by utilizing the ADS-B observed values after the coordinate transformation process, so that an accurate estimation on the target state is obtained. After that, the gaussian hybrid-probability assumed density filtering on the target state is conducted on the extended state after the updating of the target state by utilizing radar observation data. Furthermore, the joint estimation of the target state and the radar system error is conducted by a two-step kalman filter. Finally, the fusion estimation result of the radar system error is obtained through the weighted average algorithm. The method is high in estimation accuracy and good in estimation performance.

Description

technical field [0001] The invention belongs to the technical field of sensor error registration, in particular to a GM-EPHD filter radar system error joint estimation method using ADS-B data. Background technique [0002] Radar errors are generally divided into two categories: 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. Radar system errors include the following: radar site coordinate calibration errors, space coordinate conversion errors, and radar measurement errors. Commonly used radar system error estimation methods generally only consider the measurement errors caused by ranging and angle measurement. The existing r...

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): G01S7/40
CPCG01S7/40
Inventor 来燃章涛吴仁彪
Owner CIVIL AVIATION UNIV OF CHINA
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com