A Radar Signal Sorting Method Based on Probabilistic Data Association

A technology for radar signal sorting and probabilistic data association, applied in radio wave measurement systems, instruments, etc.

Active Publication Date: 2020-07-14
HARBIN ENG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a radar signal sorting method based on probabilistic data association, focusing on solving the problem of association between sampling signals and multiple radar signal targets in clutter environments

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 Radar Signal Sorting Method Based on Probabilistic Data Association
  • A Radar Signal Sorting Method Based on Probabilistic Data Association
  • A Radar Signal Sorting Method Based on Probabilistic Data Association

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0034] Specifically, according to the characteristic parameters of different radar signals obtained by sampling, the probability data association algorithm is used to estimate the correlation probability between each sampling point and different radar signals, and further predict and update the radar parameters, which can be used to analyze different types of radar signals. select.

[0035] In this method, the characteristic parameter information of the signal sampled in the clutter environment is firstly established using the logic method to establish an initial radar parameter library, and then, the difference of these parameters of different radar signals and the similarity of the characteristic parameters of the same radar signal are used , use the joint probability data association algorithm to calculate the conditional probability that eac...

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 belongs to the radar signal sorting technology field and particularly relates to a radar signal sorting method based on probability data association. The method comprises steps that sampling data of one sampling period under the clutter environment is utilized to determine an initial radar parameter database through a logic method; combined probability data association is carried out for the sampling data, a confirmation matrix is split into interconnection matrixes, and combined event probability is calculated, including calculating an innovation covariance, a target gain matrix and a state estimation covariance; the radar parameter database is updated; steps are repeated till association of the sampling data is accomplished. The method is advantaged in that the stable radar signal parameters can be accurately and effectively acquired under conditions of relatively low signal to noise ratio and limited sampling data accuracy, probability interconnection of data of each sampling point at each moment in the sampling period and the radar database data is carried out, the radar database parameters are further predicted and updated, and thereby a purpose of sorting accurate radar signals under clutter and signal coexistence conditions can be realized.

Description

technical field [0001] The invention belongs to the technical field of radar signal sorting, and in particular relates to a radar signal sorting method based on probability data association. Background technique [0002] With the rapid development of the global aviation industry, the number of aircraft and passenger flow in the space are increasing, which will lead to an increase in the number of movements of aircraft in the airport. In the activity area on the ground of the airport, due to weather and Due to reasons such as the occlusion of the airport staff’s line of sight, the probability of aircraft collisions during take-off and landing increases. Therefore, it is very important to be able to accurately grasp the status of the aircraft in a crowded airport. This requires the ground service center Advanced radar signal sorting methods are needed to ensure that the parameters of the aircraft radar are accurately grasped. [0003] Radar emitter signals will inevitably be ...

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): G01S7/292
CPCG01S7/2927
Inventor 郜丽鹏纪风有蒋伊琳赵忠凯朱嘉颖杨帅李勇王欢
Owner HARBIN ENG 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