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

Human-vehicle identification method based on four-dimensional information weight

A recognition method and weight technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as unsatisfactory target recognition probability, achieve stable and reliable recognition, simple implementation, and small code calculation.

Active Publication Date: 2019-12-10
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a human-vehicle recognition method based on four-dimensional information weights in view of the situation that the target recognition probability is not ideal due to the incomplete use of target information for current target recognition

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
  • Human-vehicle identification method based on four-dimensional information weight
  • Human-vehicle identification method based on four-dimensional information weight
  • Human-vehicle identification method based on four-dimensional information weight

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] This embodiment describes the specific implementation of the method for identifying people and vehicles based on four-dimensional information weights according to the present invention, such as figure 1 Shown is the implementation process of the implementation flowchart of the present invention.

[0042] Step 1. Accumulate 40 target tracking data;

[0043] Step 2. Calculate the normalized RCS value of the 40-point target tracking data in step 1 according to the formula (1), where K is 100, and A 0 152, D 0 is 10000, α is 2.4, and 40 normalized RCS values ​​are obtained;

[0044] Step 3. Analyze the spectrum after the MTD of the radar echo, find the spectral peak position of the target, and count the number of spectral peaks within 16 points of the target spectral peak position;

[0045] Step 4. Calculate the first-order moment of the current tracking data and the previous 39 tracking data according to the 40 normalized RCS values ​​calculated in step 2 to obtain the ...

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 relates to a human-vehicle identification method based on four-dimensional information weight, and belongs to the technical field of radar target identification. The method comprises thefollowing steps: 1, caching tracking data of a target for X times; 2, calculating X normalized RCS values; 3, analyzing the spectrum of a radar target echo after MTD, finding out the maximum spectrumpeak position of the target, and calculating the number of other spectrum peaks of the target echo in the + / -N point of the position; 4, calculating a normalized RCS first-order moment M [sigma] anda normalized RCS second-order moment [upsilon] [sigma]; 5, multiplying the weights H1, H2, H3 and H4 by the normalized RCS first order moment, the normalized RCS second-order moment, a spectral peak number and a peak speed respectively, and performing calculation to obtain a probability P < person > of judging the current X times of tracking data as a person and a probability P < vehicle > of judging the current X times of tracking data as a vehicle; 6, judging that the target is a person if the P person value is greater than the P vehicle value; otherwise, judging that the target is a vehicle, and outputting a judgment result. According to the identification method, as long as the radar erection posture is correct and no shielding exists between the target and the radar, high identification probability can be realized, and stable and reliable identification can be realized.

Description

technical field [0001] The invention relates to a method for identifying people and vehicles based on four-dimensional information weights, and belongs to the technical field of radar target identification. Background technique [0002] When radar is used for target recognition, the conventional recognition methods are: (1) Use the amplitude and speed information of the target. When the target moves at a low speed, the amplitude information is basically used to distinguish people and vehicles, and the fluctuation of the amplitude will cause the recognition results to be particularly unstable. The present invention improves the defects of these methods, adopts multi-dimensional information to improve the recognition probability and stability, and mainly utilizes the four-dimensional information of the target, which are respectively the normalized RCS first-order moment and the normalized RCS second-order moment. , peak number and velocity. (2) Advanced methods such as wavele...

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): G01S7/41
CPCG01S7/415
Inventor 田黎育孙宝鹏张明发
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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