Model classification method based on frequency modulation continuous wave radar

A frequency modulation continuous wave and vehicle classification technology, which is applied in the field of vehicle detection in intelligent transportation, can solve problems such as complex operation, and achieve the effect of simple calculation and convenient operation

Inactive Publication Date: 2015-03-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF8 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is only for single-frequency continuous wave, not suitable for FM conti

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
  • Model classification method based on frequency modulation continuous wave radar
  • Model classification method based on frequency modulation continuous wave radar
  • Model classification method based on frequency modulation continuous wave radar

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0031] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

[0032] like figure 1 As shown in the flowchart of the vehicle classification method based on FM continuous wave radar according to a specific embodiment of the present invention, firstly, the constant false alarm rate processing is performed to estimate the power spectrum of noise and interference and set the threshold, and then the power spectrum of the vehicle is estimated. Peak statistics. After the vehicle's power spectrum peaks are accumulated to a certain number, a histogram of the results is performed. Finally, according to the results of the histogram statistics, the power spectrum peak energy segmentation thresholds corresponding to different vehicle models are adaptively obtained, and finally the purpose of traffic statistics and vehicle classification is achieved.

[0033] like figure 2 According to a specific embodiment of 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 discloses a model classification method based on a frequency modulation continuous wave radar, and belongs to the field of vehicle detection of intelligent traffic. According to the invention, first of all, constant false alarm rate processing is carried out, the power spectrums of noise and interference are estimated, thresholds are arranged, and then the power spectrum peak values of vehicles are counted; next, histogram statistics is performed on the counted power spectrum peak values of the vehicles; and finally, according to results of the histogram statistics, power spectrum peak value energy segmentation thresholds corresponding to different models are obtained, and the types of the vehicles are determined based on this. The method provided by the invention has the advantage that the different models can be classified by use of the frequency modulation continuous wave radar.

Description

technical field [0001] The invention relates to a vehicle classification method based on frequency modulation continuous wave radar, which belongs to the vehicle detection field of intelligent transportation. Background technique [0002] The intelligent transportation system is the development direction of the transportation system and an important part of building a smart city. The road traffic information collection system is an important category in the intelligent transportation system. At present, the commonly used traffic information collection systems mainly include video collection, loop coil detection, radar detection and so on. Radar detection is developing at a high speed because of its high detection accuracy, strong anti-interference performance, all-weather, and easy installation. [0003] Frequency modulated continuous wave traffic radar is an important method of radar detection in intelligent transportation systems. The forward-mounted radar can accuratel...

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): G08G1/017
CPCG08G1/017
Inventor 夏伟杰蒋鹏飞韦继富周建江刘京王明超
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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