High-speed weak target flight path detection method of image field

A weak target and detection method technology, which is applied in the field of track detection of high-speed and weak moving targets, can solve the problems of slow detection speed, difficulty in determining the threshold, and insufficient precision, so as to improve detection accuracy and speed, and improve track detection accuracy , the effect of reducing the amount of computation

Inactive Publication Date: 2010-06-02
XIDIAN UNIV
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Problems solved by technology

Therefore, the disadvantage of this method is that the detection speed is too slow to achieve real-time control; and the accuracy is not high enough, resulting in not only the expected information not being detected, but wrong judgments will be made, resulting in a large amount of redundant data
In reality, because the image is

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  • High-speed weak target flight path detection method of image field
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  • High-speed weak target flight path detection method of image field

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Embodiment Construction

[0040] Refer to figure 1 The specific implementation steps of the present invention are as follows:

[0041] Step 1. Perform continuous frame data fusion accumulation on the input multi-frame data to obtain a time-Doppler image.

[0042] The input frame data is radar echo data, specifically, the Doppler data in the radar scanning area at a certain moment. The fusion and accumulation of these multi-frame data is the accumulation of Doppler data in the same radar scanning area at different times.

[0043] The signal model of the target track in the time-Doppler image is as figure 2 Shown. Among them, α is the azimuth of the radar platform, r is the radial direction of the radar platform; v is the moving speed of the radar platform; ● represents the center of mass of the moving target; v r , V a , A r , A α Respectively indicate the radial velocity, azimuth velocity, radial acceleration, and azimuth acceleration of the moving target; θ BW Is the radar beam width; R 0 Represents the ...

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Abstract

The invention discloses a high-speed weak target flight path detection method of an image field, relating to the field of moving object tracking, and mainly solving the problem of extracting a moving object flight path and a target kinematic parameter from data with a low signal-to-noise ratio. The detection process is as follows: firstly, obtaining a time-Doppler image by mixing and accumulating target multiframe data; carrying out edge extracting on the basis of phase equalization model; carrying out skeletonization and binary image de-noising treatment on the edge detection result with a morphology method to realize edge center positioning as well as noise inhibition; and finally, using a least square method to detect the target flight path and estimate a target parameter. The invention can accurately estimate the advantages of a curve flight path parameter, and can be used for the data processing field for monitoring systems, such as radars and the like to realize high-speed weak target detection and tracking.

Description

Technical field [0001] The invention relates to the field of moving target tracking, in particular to a method for detecting high-speed and weak moving target tracks, and can be used in monitoring systems such as radars to detect and track high-speed and weak targets. Background technique [0002] In modern warfare under the high-tech background, continuous monitoring of the battlefield can provide rich strategic and tactical information for situation assessment, command and other applications, and play a key role in winning the war. Radar has always been the core of the battlefield surveillance system for its all-time and all-weather work characteristics. The operating range of traditional ground-based radars is limited by the curvature of the earth, making it difficult to achieve continuous monitoring of a large area. Airborne or spaceborne radars have greatly extended their operating range due to the launch of the observation platform and have the ability to continuously moni...

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Application Information

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IPC IPC(8): G01S13/58G01S13/66G01S7/36G01S7/41
Inventor 廖桂生杨志伟何嘉懿
Owner XIDIAN UNIV
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