Double-threshold detection method for scanning radar

A scanning radar and detection method technology, which is applied to radio wave measurement systems, instruments, etc., can solve the problems of increased missed detection rate and decreased target detection ability, so as to meet the detection rate, improve the detection rate, and reduce the missed detection probability. Effect

Active Publication Date: 2019-01-04
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0005] The purpose of the present invention is to propose a dual scanning radar for scan...

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Embodiment 1

[0028] This embodiment illustrates the specific implementation of the method of the present invention, such as figure 1 Shown is the implementation process of the implementation flowchart of a dual-threshold detection method for scanning radar of the present invention.

[0029] A dual-threshold detection method for scanning radar includes the following steps:

[0030] Step A: Cache the radar echo data of 3 scans of the radar;

[0031] Step B: Perform down-conversion, pulse pressure and MTD processing on the radar echo data of the 3 scans received in Step A, and then calculate the modulus to obtain the echo spectrum of the 3 scans;

[0032] Step C: Determine whether the data in the echo spectrum of the third scan is higher than the second threshold, if it is higher than the second threshold, skip to step G; otherwise, go to step D;

[0033] Among them, the second threshold is a high threshold, which must be greater than or equal to the relative threshold of the traditional CFAR algorith...

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Abstract

The present invention relates to a double-threshold detection method for scanning radar, belonging to the technical field of radar target detection. The method comprises the following steps of: the step 1, receiving radar echo for more than three times; the step 2, performing down conversion, pulse pressure and MTD for the current radar echo and then performing modulo to obtain a frequency domainecho; the step 3, determining whether data in the current frequency domain echo is higher than a second threshold, if yes, jumping to the step 6, or else, jumping to the step 4; the step 4, finding out a target point being higher than the first threshold in the current frequency domain echo; the step 5, performing target trace point correlation of the target point between the current frequency domain echo thresholds and the frequency domain echoes twice in the certain threshold range of the speed, the distance and the orientation; the step 6, recording the detected distance, speed and orientation of the target; the step 7, removing the detected target in the frequency domain echo to obtain noise spectrum; and the step 8, subtracting the noise spectrum from the frequency domain echo to obtain a target trace point after double-threshold detection. The method provided by the invention can reduce the noise pedestal and can effectively improve the target detection probability.

Description

Technical field [0001] The invention relates to a double-threshold detection method of scanning radar, which belongs to the technical field of radar target detection. Background technique [0002] When the radar detects a target, due to the influence of the complex external environment, the target is often polluted by noise and clutter, and is under the noise floor, resulting in failure to detect it, that is, the probability of missed detection is high. In an environment with prominent noise and clutter characteristics, the existing conventional methods for suppressing noise and clutter, such as the CFAR method, are not ideal for detecting targets. That is to say: it often appears that small targets exist under the noise floor, which leads to the detection of small targets or the detection of noise as small targets. [0003] After simulation and actual measurement, it is found that the noise is very similar to a small target after pulse pressure and MTD. For small targets existin...

Claims

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Application Information

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IPC IPC(8): G01S7/36G01S7/292
CPCG01S7/292G01S7/36
Inventor 田黎育孙宝鹏卢继华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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