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Local maximum value based vehicle radar target detection method

A local maximum value and radar target technology, which is applied in the direction of measuring devices, radio wave measurement systems, radio wave reflection/re-radiation, etc., can solve the problems of false alarms of detection equipment, reduction of equipment detection performance, and missed alarms, etc., to achieve The effect of reducing the requirement of echo strength, improving equipment detection performance, good adaptability and robustness

Active Publication Date: 2014-05-21
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method makes the detection equipment often have "false alarm" and "missing alarm" phenomena, such as the phenomenon of echo dragging caused by buses, trucks and other large vehicles, and the phenomenon that the echoes of parallel vehicles cannot be distinguished, etc. Traditional methods The effect of solving these problems is not satisfactory, which reduces the detection performance of the equipment
Moreover, due to the differences in radar antennas, the echo strengths of different antennas are different. Therefore, the original method of discriminating vehicle targets based on strength will have high requirements for the consistency of the antennas, which also brings great difficulties to the mass production of products. great difficulty

Method used

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  • Local maximum value based vehicle radar target detection method
  • Local maximum value based vehicle radar target detection method
  • Local maximum value based vehicle radar target detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Figure 4 In the embodiment 1, it is the echo diagram produced when a bus passes the detector. The abscissa is the time axis, and each point corresponds to a scan cycle of 100 ms in time, and the figure consists of 350 scan cycles; the ordinate is the distance axis, and each point corresponds to a distance unit in terms of distance, and the figure consists of Composed of 20 distance points, each lane occupies 3 distance points, a total of 6 lanes; the brightness of each point in the figure is obtained by quantitative calculation of the radar echo intensity at the corresponding point. It can be seen from the figure that the echo range generated by the bus is widely distributed, and the adjacent lanes are also towed to produce a lot of echoes, and the intensity of the towed echoes is not weak. The method of the target point will detect the car in the adjacent lane, and because the bus passes the detector for a long time, it is possible to detect multiple vehicles in the ...

Embodiment 2

[0056] Figure 7 In the embodiment 2, it is the echo diagram produced when two vehicles pass the detector in parallel simultaneously. Figure 4 . It can be seen from the figure that because the two cars are relatively close, the gap between the two cars cannot be clearly distinguished.

[0057] Figure 8 It is the simulation result of traditional method detection, two vehicles are judged as one vehicle passing by, and there is a missing alarm.

[0058] Figure 9 When using the simulation results of target detection based on the local maximum value method proposed by the present invention, vehicles can be correctly distinguished.

Embodiment 3

[0060] Figure 10 Example 3 is the echo diagram generated when multiple vehicles (there are three vehicles in the figure, and one vehicle is stopped) pass by the detector. This diagram is composed of 350 scan cycles on the time axis, and the distribution of the distance axis is the same as Figure 4 . It can be seen from the figure that the echo scattering phenomenon sometimes occurs when the vehicle is driving, and the echo "multipath" phenomenon will also appear when multiple vehicles pass by together. This increases the difficulty of target detection. If the traditional detection method based on echo intensity is used, many false alarms will inevitably occur.

[0061] Figure 11 That is, the simulation result of traditional method detection. However, the detection method based on the local maximum value proposed by the present invention can eliminate the echo caused by scattering and "multipath" due to the addition of the constraint of the window extreme value. Morpholo...

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Abstract

The invention discloses a local maximum value based vehicle radar target detection method. The local maximum value based vehicle radar target detection method includes the following steps that step one, a microwave detection device on the road surface uploads collected echoes to an upper computer through a serial port, radar echo distribution conditions of the road surface are observed through the upper computer, and radar echo areas are partitioned; step two, the range of a search window is calculated according to a distance resolution ratio of frequency modulation continuous wave (FMCW) radar and width information of a lane; step three, all lane echo points extracted in the step one are traversed, the search window in the step two is set in the neighborhood of each echo point for each echo point, and subsequently, the echo point is compared with other echo points in the search window; step four, whether an echo intensity value of a searched local maximum value point is larger than a set echo threshold is judged, the searched local maximum value point is a target point if the searched local maximum value point is larger than the set echo threshold, and otherwise, the searched local maximum value point is considered to be a non-target point; step five, the target point is marked, and an echo signal is turned into a two-value signal so as to achieve target detection.

Description

technical field [0001] The invention relates to a radar target detection method, in particular to a vehicle radar target detection method based on local maximum values. Background technique [0002] Under the background of the rapid development of intelligent transportation system and Internet of Things technology, in order to realize the automation of highway and urban road traffic information processing and control, the automatic collection system of traffic information is an indispensable part of the intelligent transportation system, which requires a large number of Vehicle detection equipment for traffic information detection. [0003] There are many types of vehicle detection equipment, including video, induction coils, and microwave radar. The traffic detection technology using FMCW (Frequency Modulated Continuous Wave) radar as the sensor has attracted more and more attention due to its advantages of high detection accuracy, high stability, and all-weather performan...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/412G01S13/04G01S13/91
Inventor 商凯姜黎曹新星何昇浍徐学发吴贝贝叶玲
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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