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Method for vehicle flow statistics and vehicle type identification based on continuous wave radar

A technology of traffic flow and wave radar, which is applied in the field of traffic flow statistics and vehicle type discrimination of continuous wave radar

Inactive Publication Date: 2017-09-05
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method can only be applied to single-objective model discrimination
Not applicable in the field of actual traffic radar

Method used

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  • Method for vehicle flow statistics and vehicle type identification based on continuous wave radar
  • Method for vehicle flow statistics and vehicle type identification based on continuous wave radar
  • Method for vehicle flow statistics and vehicle type identification based on continuous wave radar

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Embodiment Construction

[0040] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0041] Such as figure 1 When the maneuvering target passes through the radar radiation area, the angle between the target and the radar incident normal increases gradually, and the radial velocity decreases accordingly. According to this principle, it can be seen on the time-frequency analysis diagram of the radar intermediate frequency echo that the target Doppler frequency shows a decreasing trend. Carry out modeling analysis on this, in the three-dimensional coordinate space, assume that the vehicle target is moving in a straight line at a uniform speed, and the driving speed is always equal to v. The installation height of the radar is H, and the projection of the radar to the ground is point O. When the target is detected for the first time, the target is located at point A, and the distance between the two points O and A is L. The in...

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Abstract

The invention discloses a method for vehicle flow statistics and vehicle type identification based on continuous wave radar, belonging to the field of traffic radar target detection. When a vehicle target is in the radiation area of radar, the radar obtains a Doppler intermediate-frequency signal. Through short-time Fourier transform on the collected signal, a two-dimensional domain of time and frequency is obtained to represent the change characteristic of the Doppler frequency of the vehicle target with time. The time-frequency image is binarized through an Otsu method, and the time-frequency characteristics of the vehicle target are separated and extracted. The change of the time-frequency characteristics of the target at the time of crossing the radiation area of the radar is represented in a list method. Interference targets smaller than a threshold in a connected region are removed according to the energy dominance criterion. Traffic flow statistics is completed by counting characteristic lists. Then, each characteristic list is traversed, and the vehicle type is identified according to the spectrum ridge broadening width. Compared with the traditional detection line method, the method of the invention has the characteristics of visual judgment and accurate measurement.

Description

technical field [0001] The invention belongs to the field of traffic radar target detection, and in particular relates to a method for realizing traffic flow statistics and model discrimination of continuous wave radar. Background technique [0002] Traffic radar is an important part of the realization of intelligent transportation system, and the development of intelligent transportation system will effectively relieve the pressure of urban traffic in our country. The working principle of traffic radar is to transmit radar signals, and the radar waves are reflected by objects to the radar receiving antenna. The received signal is mixed with the transmitted signal to obtain a Doppler intermediate frequency signal. Through a certain radar signal processing method, the basic information such as the speed, distance, and angle of the vehicle target is obtained, and then functions such as traffic flow statistics and vehicle type discrimination are realized. The information is o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/015G08G1/065G01S13/88
CPCG08G1/015G01S13/88G08G1/065
Inventor 夏伟杰金雪张峻橦蒋鹏飞刘京汪飞周建江黄闽羚周莹黄琳琳
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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