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Intelligent clutter partitioning method based on radar false alarm preprocessing time

A technology of preprocessing time and radar false alarm, applied in radio wave measurement systems, climate sustainability, instruments, etc., can solve problems such as unsatisfactory effect, lack of adaptive ability of clutter area division, rough fixed grid, etc.

Active Publication Date: 2020-06-12
TSINGHUA UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are relatively few existing clutter partitioning technologies, which mainly divide the area artificially in advance by referring to the prior information of the terrain data, or use a very rough fixed grid division method, such as the clutter map
However, on the one hand, the existing methods have the problem of lack of self-adaptive ability in clutter area division, and at the same time, the effect is not ideal for time-varying clutter such as cloud and rain clutter.

Method used

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  • Intelligent clutter partitioning method based on radar false alarm preprocessing time
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  • Intelligent clutter partitioning method based on radar false alarm preprocessing time

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Embodiment 1

[0017] Intelligent clutter partitioning method of the present invention, its flow chart is as follows figure 1 shown, including the following steps:

[0018] Step 1: Perform FO-CFAR and BO-CFAR detection on the output data v(k) of the linear detector of the kth frame at the same time, and the FO-CFAR detection result Multiplied by the prime number q, the BO-CFAR detection result Multiplied by the prime number w, where;

[0019] Considering the conventional early warning radar system, each frame acquires the sampling data of M range units, and the output and arrangement of the data are shown in Table 1.

[0020] Table 1 Data output and arrangement

[0021]

[0022] Assume that the distribution of clutter area refers to the schematic diagram as figure 2 As shown, a frame of data contains a total of M data, and its echo satisfies the Rayleigh distribution after passing through the linear detector, and its probability density function satisfies formula (1):

[0023] ...

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Abstract

The invention discloses an intelligent clutter partitioning method based on false alarm preprocessing time, and the method comprises the steps: step 1, carrying out average constant false alarm detection of a leading edge reference unit and the average CFAR detection of a trailing edge reference unit (Back of Off, BO) of each frame of data (kth frame) outputted by a detector at the same time; step2, fusing the detection results of the FO-CFAR detector and the BO-CFAR detector; step 3, if frame data is the first frame data, initializing a time storage matrix, otherwise, deleting the data in the lowest row of the storage matrix, integrally moving down the rest data by one row, and storing the data transmitted in the step 2 into the first row of the storage matrix to update the storage matrix; step 4, performing time accumulation on each distance unit of the time storage matrix, and judging whether each point after accumulation is a clutter boundary point or not; and step 5, obtaining aclutter partitioning result and outputting the result.

Description

technical field [0001] The invention belongs to the technical field of radar signal intelligent processing, and in particular relates to an intelligent clutter partitioning method based on radar false alarm preprocessing time, which realizes time-average preprocessing intelligent clutter partitioning of front and rear reference units in parallel, and aims at clutter in complex signal environments Intelligent clutter partitioning method in the background of uneven distribution and multiple clutter regions. Background technique [0002] In the past ten years, with the continuous development and progress of electronic technology, radar detection technology has been greatly developed and improved. Today, this technology has been widely used in multiple systems such as detection and early warning, target search, target tracking, and target imaging. The most basic goal addressed by radar signal processing is to determine whether and how many objects of interest are present. Only...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/414Y02A90/10
Inventor 汤俊欧阳思远
Owner TSINGHUA UNIV
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