Human-vehicle identification method based on four-dimensional information weight

A recognition method and weight technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as unsatisfactory target recognition probability, achieve stable and reliable recognition, simple implementation, and small code calculation.

Active Publication Date: 2019-12-10
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0005] The purpose of the present invention is to propose a human-vehicle recognition method based on four-dimensional information weights in view

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  • Human-vehicle identification method based on four-dimensional information weight
  • Human-vehicle identification method based on four-dimensional information weight
  • Human-vehicle identification method based on four-dimensional information weight

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Embodiment 1

[0041] This embodiment describes the specific implementation of the method for identifying people and vehicles based on four-dimensional information weights according to the present invention, such as figure 1 Shown is the implementation process of the implementation flowchart of the present invention.

[0042] Step 1. Accumulate 40 target tracking data;

[0043] Step 2. Calculate the normalized RCS value of the 40-point target tracking data in step 1 according to the formula (1), where K is 100, and A 0 152, D 0 is 10000, α is 2.4, and 40 normalized RCS values ​​are obtained;

[0044] Step 3. Analyze the spectrum after the MTD of the radar echo, find the spectral peak position of the target, and count the number of spectral peaks within 16 points of the target spectral peak position;

[0045] Step 4. Calculate the first-order moment of the current tracking data and the previous 39 tracking data according to the 40 normalized RCS values ​​calculated in step 2 to obtain the ...

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Abstract

The invention relates to a human-vehicle identification method based on four-dimensional information weight, and belongs to the technical field of radar target identification. The method comprises thefollowing steps: 1, caching tracking data of a target for X times; 2, calculating X normalized RCS values; 3, analyzing the spectrum of a radar target echo after MTD, finding out the maximum spectrumpeak position of the target, and calculating the number of other spectrum peaks of the target echo in the +/-N point of the position; 4, calculating a normalized RCS first-order moment M [sigma] anda normalized RCS second-order moment [upsilon] [sigma]; 5, multiplying the weights H1, H2, H3 and H4 by the normalized RCS first order moment, the normalized RCS second-order moment, a spectral peak number and a peak speed respectively, and performing calculation to obtain a probability P < person > of judging the current X times of tracking data as a person and a probability P < vehicle > of judging the current X times of tracking data as a vehicle; 6, judging that the target is a person if the P person value is greater than the P vehicle value; otherwise, judging that the target is a vehicle, and outputting a judgment result. According to the identification method, as long as the radar erection posture is correct and no shielding exists between the target and the radar, high identification probability can be realized, and stable and reliable identification can be realized.

Description

technical field [0001] The invention relates to a method for identifying people and vehicles based on four-dimensional information weights, and belongs to the technical field of radar target identification. Background technique [0002] When radar is used for target recognition, the conventional recognition methods are: (1) Use the amplitude and speed information of the target. When the target moves at a low speed, the amplitude information is basically used to distinguish people and vehicles, and the fluctuation of the amplitude will cause the recognition results to be particularly unstable. The present invention improves the defects of these methods, adopts multi-dimensional information to improve the recognition probability and stability, and mainly utilizes the four-dimensional information of the target, which are respectively the normalized RCS first-order moment and the normalized RCS second-order moment. , peak number and velocity. (2) Advanced methods such as wavele...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/415
Inventor 田黎育孙宝鹏张明发
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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