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Unmanned aerial vehicle cluster target number detection method based on multi-sensor data fusion

A technology of target quantity and data fusion, applied in the field of information processing, can solve problems such as the impact of the evaluation of defense strategy defense effects, difficult number of UAV cluster targets, complex shape of the fleet, etc., to reduce decision-making risks, strong compatibility and reliability Operability, the effect of simple algorithm

Pending Publication Date: 2022-02-18
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

The individual UAV swarm targets have the characteristics of weak signal characteristics, complex cluster shapes, and multi-terminal changes, which brings difficulties in detecting the number of UAV swarm targets, thus affecting the selection of defense strategies and the evaluation of defense effects.

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  • Unmanned aerial vehicle cluster target number detection method based on multi-sensor data fusion
  • Unmanned aerial vehicle cluster target number detection method based on multi-sensor data fusion
  • Unmanned aerial vehicle cluster target number detection method based on multi-sensor data fusion

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Embodiment Construction

[0030] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments.

[0031] The embodiment of the present invention provides a method for detecting the number of UAV cluster targets based on multi-sensor data fusion. The sensors include radar and communication signal receivers. The method flow chart of the present invention is as follows figure 1 As shown, it mainly involves the basic probability assignment of the number of UAV cluster targets given by the radar and communication signal receivers, and the detection result of the number of UAV cluster targets is output through the D-S data fusion algorithm and the judgment algorithm.

[0032] Step 1, taking the detection of a UAV cluster with a certain number of objects as an example, two sensors, radar and communication signal receiver, respectively obtain the target qu...

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Abstract

The invention belongs to the technical field of information processing, and discloses an unmanned aerial vehicle cluster target number detection method based on multi-sensor data fusion, comprising the following steps: step 1, two sensors of a radar and a communication signal detector respectively obtaining unmanned aerial vehicle cluster target number values, and obtaining basic probability assignment of detection data; step 2, fusing the elementary probability assignment in the step 1 by applying a D-S evidence theory fusion rule, and outputting the fused elementary probability assignment; and step 3, performing judgment decision on the fused basic probability assignment, and outputting an unmanned aerial vehicle cluster target number detection result. The D-S evidence theory-based unmanned aerial vehicle cluster target number detection method provided by the invention effectively solves the problem of low reliability of unmanned aerial vehicle cluster number detection by a single sensor, can provide more accurate data support for unmanned aerial vehicle cluster detection and defense, improves the accuracy of cluster defense effect evaluation, and a more reasonable defense decision can be made.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method for detecting the number of drone cluster targets based on multi-sensor data fusion. Background technique [0002] With the rapid development of cutting-edge technologies such as multi-agents and communications, research on UAV swarm defense has gradually become the focus of attention of various countries. The individual UAV swarm targets have the characteristics of weak signal characteristics, complex cluster shapes, and multi-terminal changes, which brings difficulties in detecting the number of UAV swarm targets, thus affecting the selection of defense strategies and the evaluation of defense effects. [0003] In the actual UAV swarm combat environment, the data obtained by a single detection sensor such as radar often has certain uncertainty, so it is necessary to fuse the data obtained by different types of sensors to eliminate the possibl...

Claims

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Application Information

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IPC IPC(8): G06V20/17G06V10/764G06V10/80
CPCG06F18/251G06F18/2415
Inventor 闫川甄子洋江驹
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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