Amplitude-based sea radar multi-objective fusion tracking method

A multi-target and target technology, applied in the field of amplitude-based multi-target fusion tracking of sea radar, can solve the problems of miscorrelation tracking accuracy, short track and so on, and achieve the reduction of miscorrelation, high precision and stable tracking, and track avoidance Gathering effect

Inactive Publication Date: 2018-12-18
中国人民解放军海军航空大学青岛校区
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems that the existing multi-target tracking method has many short tracks, miscorrelation and low tracking accuracy, the present invention proposes an amplitude-based multi-target fusion tracking method for sea radar, which can solve the above problems

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
  • Amplitude-based sea radar multi-objective fusion tracking method
  • Amplitude-based sea radar multi-objective fusion tracking method
  • Amplitude-based sea radar multi-objective fusion tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Embodiment 1, this embodiment proposes an amplitude-based multi-target fusion tracking method for sea radar, such as figure 1 shown, including the following steps:

[0048] The step of obtaining the measured value at the current moment is that the radar detects multiple targets, and obtains the clustered measured value of the multiple targets at time k according to the radar echo signal;

[0049] Perform processing steps on the track of each target respectively, count the number of measurement values ​​in the prediction gate of each target, obtain the prior probability of the existence of each target and the prior estimation of the number of clustered measurement values, and the prediction gate is the prediction of the area where the target is located at time k at time k-1;

[0050] The measurement value fusion orientation step based on the amplitude information obtains the amplitude information of the measurement values ​​in each prediction gate, and calculates the ta...

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 an amplitude-based sea radar multi-objective fusion tracking method. The method comprises the following steps of obtaining a current moment measurement value; performing processing on tracks of all the targets respectively; performing fusing and orienting on the measurement values based on the amplitude information; performing track fusion orientation based on the amplitudeinformation and the track quality; performing predicting and updating on the target state information, wherein each target state is updated according to the data interconnection probability parameters of all the targets, and the state information of each target at the k moment is obtained. The sea-radar multi-target fusion tracking method is used in the multi-target tracking process of the sea surface under the complex condition, and non-kinematics information such as amplitude information, used as representative of the target feature, is utilized, the amplitude information is compared with the set threshold parameter to judge the effectiveness of measurement, so that a track aggregation phenomenon caused by the fact that the target distance is close can be avoided, target measurement andclutter can be effectively distinguished, error correlation is reduced, and high-precision stable tracking of a sea surface target is realized.

Description

technical field [0001] The invention relates to the field of airborne sea radar multi-target tracking, in particular to an amplitude-based sea radar multi-target fusion tracking method. Background technique [0002] Nowadays, the sea surface operation environment is becoming more and more complex, especially in the environment where the clutter is strong, the targets are dense, the target distance is close, and the target RCS difference is significant. When the radar is tracking dense targets, the commonly used multi-target tracking method only uses the distance information of the targets. , speed information and other non-kinematic information, there will be problems such as many short tracks, false correlation and low tracking accuracy. Contents of the invention [0003] In order to solve the problems of the existing multi-target tracking method, such as short track, many false correlations and low tracking precision, the present invention proposes an amplitude-based mul...

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): G01S13/66G01S7/41
CPCG01S7/414G01S13/66
Inventor 彭志刚张存李大龙李宝鹏冯威纪晓佳李淑华
Owner 中国人民解放军海军航空大学青岛校区
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