Airborne early warning radar detection capability simulation method based on MATLAB

A technology of airborne early warning and detection capabilities, applied in the field of radar, can solve problems such as not considering the impact of early warning radar detection capabilities, and achieve the effect of good human-computer interaction function

Pending Publication Date: 2022-01-28
SUN YAT SEN UNIV
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  • Abstract
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Problems solved by technology

However, the existing methods do not consider the influence of Doppler velocity blind zone and near-field blind zone on the detection capability of early warning radar.

Method used

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  • Airborne early warning radar detection capability simulation method based on MATLAB
  • Airborne early warning radar detection capability simulation method based on MATLAB
  • Airborne early warning radar detection capability simulation method based on MATLAB

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Embodiment Construction

[0048] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;

[0049]In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0050] It is understood by those skilled in the art that certain known structures and descriptions thereof may be omitted in the drawings.

[0051] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0052] Such as figure 1 As shown, the present invention provides a kind of airborne early warning radar detection ability simulation method based on MATLAB, comprises the following steps:

[0053] The first step: detection model establishment.

[0054] Assuming that the key protected target is located in an area, the area to be protected can be determined according to the relative positional relation...

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Abstract

The invention provides an airborne early warning radar detection capability simulation method based on MATLAB, and the method comprises the steps: building a detection model of an airborne early warning radar according to the relative positions of the airborne early warning radar, a protection region and an enemy target; then, calculating the detection performance of the onboard early warning radar according to the motion parameters of the radar and the target and the radar system parameters; and finally, carrying out simulation and dynamic display on the detection performance of the airborne early warning radar by utilizing MATLAB software. The scheme of the invention is suitable for the detection capability simulation of the airborne early warning radar, can effectively simulate the detection performance of the airborne early warning radar, can effectively predict the Doppler velocity blind area and the near-field blind area, has a good man-machine interaction function, and can realize dynamic visualization.

Description

technical field [0001] The present invention relates to radar technology field, more specifically, relate to a kind of airborne early warning radar detection capability simulation method based on MATLAB. Background technique [0002] In recent years, airborne early warning radar has been vigorously developed at home and abroad, and it has a good application prospect in military and civilian fields. The airborne early warning radar uses the Doppler effect to detect targets, and can find weak target signals in the background of strong ground / sea clutter. However, in the work of airborne early warning radar, there may be a phenomenon that the target is within the range of the radar but the radar cannot detect the target. Because if the Doppler velocity of the target is too small, the target will be in the Doppler blind zone of the radar. [0003] On the basis of analyzing the ground / sea clutter characteristics, X.Lian et al. established a ground / sea clutter model close to the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/40
CPCG01S7/40
Inventor 谢洪途陈佳兴王国倩
Owner SUN YAT SEN UNIV
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