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Radar detection method based on multi-frame joint for moving target track

A moving target, radar detection technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as association errors, and achieve the effect of reducing the amount of data, reducing the amount of processed data, and reducing false associations

Inactive Publication Date: 2015-09-23
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

In addition, this dynamic programming-based tracking-before-detection (DP-TBD) method only retains an optimal track of the moving target in the search window, so that when the moving target is in the case of low signal-to-noise ratio (SNR), it may be caused by The value of the noise function is greater than the value of the moving target function, or the tracks of two moving targets intersect, resulting in an association error

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  • Radar detection method based on multi-frame joint for moving target track
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  • Radar detection method based on multi-frame joint for moving target track

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Embodiment Construction

[0026] refer to figure 1 , is a flow diagram of a radar detection method based on a multi-frame joint moving target track of the present invention, this kind of radar detection method based on a multi-frame joint moving target track includes the following steps:

[0027] Step 1, the radar receives K frames of echo data in the monitoring area, and obtains the amplitude value of the echo data of the kth frame at the resolution unit (i, j) as Among them, the monitoring area is an x-y two-dimensional plane, N x Indicates the number of resolution units on the x-axis of the two-dimensional plane, N y Represents the number of resolution units on the y-axis of the two-dimensional plane, i∈{1,2,…,N x}, j ∈ {1,2,...,N y}, k∈{1,2,…,K}, K represents the total number of frames of echo data received by the radar.

[0028] Specifically, the monitoring area is set as an x-y two-dimensional plane, and the moving target moves in the monitoring area, and the x-axis of the x-y two-dimensiona...

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Abstract

The invention discloses a radar detection method based on multi-frame joint for moving target tracks. The radar detection method comprises the steps of: using echo data to obtain amplitude values at corresponding resolution cells; setting a primary constant false-alarm detection threshold to carry out filtering on the amplitude values and acquiring the filtered amplitude values; calculating value functions of the resolution cells and acquiring speed correlation track recursion accumulation value functions of the echo data of each frame of the value functions of the resolution cells; setting a secondary detection threshold, and acquiring the resolution cells where moving targets exceeding the secondary detection threshold are located; conducting backtracking processing on the data to obtain the resolution cells where the echo data of each frame of all moving target tracks are located; and acquiring all moving target tracks, and determining true moving target tracks from all the moving target tracks. The radar detection method based on multi-frame joint for moving target tracks introduces a correlation speed algorithm, and can realize detection and tracking of moving targets under low SNR.

Description

technical field [0001] The invention belongs to the technical field of radar detection targets, in particular to a radar detection method based on multi-frame combined moving target tracks, which is suitable for detection and tracking of moving targets under low signal-to-noise ratio. Background technique [0002] Detection and tracking are the two most basic functions of radar. With the development and wide application of stealth technology, the Radar Cross Section (RCS) of typical military targets such as fighter jets, bombers, missiles, tanks and cruisers has decreased sharply, making The echo signal received by the radar is weakened, and it is often submerged in strong clutter and various interferences, which brings severe challenges to radar detection and tracking targets. [0003] In 1993, James Arnold proposed an optimal objective function method based on Bayesian theory and probability density function construction. Using this optimal objective function method can de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41G01S7/412
Inventor 王彤裴卓吴建新鲁缘政
Owner XIDIAN UNIV
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