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Vehicle-mounted millimeter wave radar target identification method based on broadening calculation

A millimeter wave radar, target recognition technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, utilization of re-radiation and other directions, can solve problems such as difficulty in target feature extraction

Active Publication Date: 2020-04-21
深圳市华讯方舟智能信息技术有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a vehicle-mounted millimeter-wave radar target recognition method based on stretching calculation to solve the problem of difficult target feature extraction due to the sparse point cloud data of the millimeter-wave radar

Method used

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  • Vehicle-mounted millimeter wave radar target identification method based on broadening calculation
  • Vehicle-mounted millimeter wave radar target identification method based on broadening calculation
  • Vehicle-mounted millimeter wave radar target identification method based on broadening calculation

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Embodiment 1

[0046] Such as figure 1 As shown in FIG. 1 , it is a schematic flow chart of the vehicle-mounted millimeter-wave radar target recognition method based on stretching calculation provided by Embodiment 1 of the present invention. In the embodiment of the present application, the training device of the target recognition model is used as the execution subject for description. The method specifically includes the following steps:

[0047] S110. Acquire the received radar echo signal, extract the spatial distribution information and Doppler information of the radar echo signal, and obtain a range-Doppler two-dimensional matrix;

[0048] In the prior art, the training process of the radar target recognition model is to cluster the point cloud data of the millimeter-wave radar to obtain different types of target point cloud data, and then establish a feature vector sample set, and use the ten-fold cross-validation method to The feature sample set is divided into training set and tes...

Embodiment 2

[0094] Such as Figure 6 Shown is a schematic flow chart of the vehicle-mounted millimeter-wave radar target recognition method based on stretching calculation provided by Embodiment 2 of the present invention. On the basis of Embodiment 1, this embodiment also provides a method for identifying targets detected by radar echo signals using a target recognition model, thereby realizing recognition of radar detection targets. The method specifically includes:

[0095] S210. For each frame of the received radar echo signal, extract the spatial distribution information and Doppler information of the radar echo signal to obtain a range-Doppler two-dimensional matrix;

[0096]Since the radar transmits detection signals at a preset frequency, multiple frames of radar echo signals can be received. For each frame of radar echo signal received, each frame of radar echo signal can be sorted into a radar data cube (radarCube). The spatial distribution information and Doppler information...

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Abstract

The invention belongs to the technical field of radar target type identification, and provides a vehicle-mounted millimeter wave radar target identification method based on broadening calculation. Themethod comprises the steps: obtaining a received radar echo signal, extracting spatial distribution information and Doppler information of the radar echo signal, and obtaining a distance-Doppler two-dimensional matrix; carrying out target detection on the data of the distance-Doppler two-dimensional matrix to obtain feature data of a target trace point; clustering the feature data according to apreset clustering algorithm to obtain target clustering data; extracting target features from the clustering data according to the distance-Doppler two-dimensional matrix, and constructing feature sample data according to the target features; and training a target recognition model according to feature sample data, and constructing the target recognition model. In the embodiment of the invention,a problem of difficult target feature extraction caused by sparse point cloud data of a millimeter-wave radar is solved.

Description

technical field [0001] The invention relates to the technical field of radar target type recognition, in particular to a vehicle-mounted millimeter-wave radar target recognition method based on stretching calculation. Background technique [0002] Millimeter wave radar has been widely used in the automotive field since its development in the 20th century, and as an important part of smart transportation, it is well known in assisted driving and automatic driving applications. BSD, that is, blind spot detection, has maintained the highest penetration rate since 2017 and has grown steadily. As an important part of the (ADAS) advanced driver assistance system, the basic functions of the millimeter wave radar have shown very strong market vitality, not only mature and stable in technology, but also highly accepted by users. [0003] In the BSD program system, it is crucial that the radar can effectively identify the target type in the blind area, so as to feed back to the contr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/931
CPCG01S13/931
Inventor 王玉桃高才才刘丽华
Owner 深圳市华讯方舟智能信息技术有限公司
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