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Radar target detection method based on motion features and direction template filtering

A technology of moving features and radar targets, which is applied in radio wave measurement systems, radio wave reflection/reradiation, measurement devices, etc., can solve the problems of missing targets, missed detection of targets, and large losses, and reduce false detections and missed detection problems, and the effect of strengthening the detection ability

Active Publication Date: 2022-05-13
四川锐明智通科技有限公司
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Problems solved by technology

The problem with the parametric constant false alarm detection method is that it cannot solve the independent peak problem, that is, it will extract the wrong target on the spectrum;
[0004] (2) Non-parametric CFAR detection technology, such as sign detector, rank value detector, etc. This method is suitable for the situation where the mathematical model of the interference signal is unknown. The detection defect of the non-parametric CFAR detection method is that the loss will If it is too large, the target will be missed;
The problem with this method is that it has a strong dependence on the input learning data. If the radar is deployed in a scene that has not been learned, it may not be possible to detect the target.
[0006] The above-mentioned radar target detection technology has the defects of missed target detection and many false detections.

Method used

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  • Radar target detection method based on motion features and direction template filtering

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Embodiment

[0036] A radar target detection method based on motion features and direction template filtering, such as figure 1 shown, including the following steps:

[0037] Step 1. Perform target detection on moving objects by radar to obtain a current frame spectrum, and perform super-resolution on the current frame spectrum to obtain a super-resolved spectrum. By super-resolution of the spectrum, the resolution of the current frame spectrum of the detected moving object can be improved, making it easier to see the details of the current frame spectrum, and providing a clearer basis for the implementation of subsequent steps.

[0038] In this embodiment, the method used for super-resolution of the current frame spectrum includes but not limited to performing linear interpolation, nonlinear interpolation, and neural network-based super-resolution on the detected current frame spectrum.

[0039] Taking the bicubic interpolation method of linear interpolation as an example, its formula ca...

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Abstract

The invention relates to the technical field of radar target detection, and discloses a radar target detection method based on motion characteristics and direction template filtering, comprising the following steps: step 1, performing target detection on a moving object through a radar to obtain a current frame frequency spectrum, and performing super-resolution on the current frame frequency spectrum to obtain a frequency spectrum after super-resolution; step 2, performing motion estimation and motion compensation on the frequency spectrum obtained in the step 1, and correcting the frequency spectrum to obtain a corrected frequency spectrum; step 3, performing direction template filtering on the frequency spectrum obtained in the step 2 to obtain a filtered frequency spectrum so as to reduce the interference of clutters attached to the frequency spectrum; and step 4, selecting a corresponding target detection algorithm according to the filtered frequency spectrum so as to complete target detection of the radar. According to the method, the problems of missing detection and false detection of radar target detection caused by environmental clutter interference in the prior art are reduced.

Description

technical field [0001] The invention relates to the technical field of radar target detection, in particular to a radar target detection method based on motion characteristics and direction template filtering. Background technique [0002] Radar target detection technology refers to the technology that uses relevant methods to determine whether there is a target when clutter exists. The existing radar target detection technology can be roughly divided into: [0003] (1) Parametric CFAR detection technology, such as unit selection small CFAR technology, unit selection large CFAR technology, order statistics CFAR technology, etc. This method is suitable for the mathematical model of the interference signal known Case. The principle of constant false alarm detection technology is to estimate the average power level through several distance units adjacent to the left and right of the detection unit, and then use this average power level as a basis to obtain the final detection...

Claims

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Application Information

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IPC IPC(8): G01S13/02G01S7/41
CPCG01S13/02G01S7/414
Inventor 黄迪黄凯明
Owner 四川锐明智通科技有限公司