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Target classification method

A target classification and target technology, applied in the radar field, can solve the problems of high computational complexity and low target classification accuracy, and achieve the effect of improving accuracy

Pending Publication Date: 2020-12-04
SHANGHAI YINGHENG ELECTRONICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are still some shortcomings in this method: the accuracy of target classification is low, and the computational complexity is large.

Method used

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Experimental program
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Embodiment 1

[0023] figure 1 It is a flow chart of the object classification method provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation where the vehicle adaptive cruise control system detects vehicles and obstacles in front. The method can be executed by the object classification device, which can adopt It can be implemented in the form of software and / or hardware, and can be integrated on electronic equipment, such as radar equipment.

[0024] Such as figure 1 As shown, the target classification method specifically includes the following processes:

[0025] S101. Obtain the relative radar cross-sectional area and target range power spectrum entropy of the target to be classified.

[0026] In the embodiment of the present invention, the object to be classified refers to an obstacle that needs to be identified to its category, where the obstacle can be a stationary object or a moving object, and the stationary object is, for example, a concr...

Embodiment 2

[0059] figure 2 It is a schematic structural diagram of the target classification device in Embodiment 2 of the present invention, and the device is used to detect the situation of vehicles and obstacles ahead in the vehicle adaptive cruise control system, and the device includes:

[0060] Calculation module 201, is used for obtaining the relative radar scattering cross-sectional area of ​​the target to be classified and the target distance power spectrum entropy value;

[0061] The classification module 202 is configured to input the relative radar cross-sectional area and the target range line entropy value into a pre-trained target classifier, and determine the category of the target to be classified according to the output result of the target classifier.

[0062] The embodiment of the present invention estimates the target classification based on extracting the two-dimensional characteristics of radar scattering cross-sectional area and entropy value of different classif...

Embodiment 3

[0079] image 3 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. image 3 A block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the invention is shown. image 3 The electronic device 12 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.

[0080] Such as image 3 As shown, electronic device 12 takes the form of a general-purpose computing device. Components of electronic device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, bus 18 connecting various system components including system memory 28 and processing unit 16.

[0081] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus ...

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Abstract

The embodiment of the invention discloses a target classification method. The method comprises the steps: obtaining relative radar scattering cross section areas and target distance power spectrum entropy values of to-be-classified targets; and inputting the relative radar scattering cross section areas and the target distance spectral line entropy values into a pre-trained target classifier, anddetermining the categories of the to-be-classified targets according to the output result of the target classifier. According to the embodiment of the invention, the types of the targets are estimatedon the basis of extracting the two-dimensional characteristics of the relative radar scattering sectional areas and entropy values of different to-be-classified targets, the target classification accuracy is improved, and the target relative radar scattering sectional areas and entropy values can be directly calculated on the basis of the signals received by the radar and the preset formula; thecalculation amount is reduced, so that the calculation complexity of target classification is reduced.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of radar, and in particular, to a target classification method. Background technique [0002] At present, most driving assistance systems such as vehicle adaptive cruise control systems use millimeter-wave radar to detect vehicles and obstacles in front. Among them, target classification is the prerequisite for the recognition of vehicles and obstacles ahead, and the accuracy of target classification is directly related to the effectiveness of driving assistance systems. Identify the target. [0003] At present, the commonly used radar target classification is to extract the characteristic attributes that can reflect different targets, such as velocity characteristics, from the echo signal after the target is detected from the radar echo, and then classify the target based on the characteristic attribute. However, there are still some shortcomings in this method: the accuracy of ta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/931G01S13/56G01S7/41
CPCG01S13/931G01S13/56G01S7/41G01S2013/9321
Inventor 高波史文虎谭维耿马树发李云龙
Owner SHANGHAI YINGHENG ELECTRONICS
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