Target identification method based on data fusion of airborne radar and infrared imaging sensor

Abstract

The invention discloses a target identification method based on the data fusion of an airborne radar and an infrared imaging sensor, comprising the following steps: firstly, identifying a target and generating a corresponding elementary probability partition function M1 by the infrared imaging sensor; then identifying the target and generating a corresponding elementary probability partition function M2 by the airborne radar; fusing the identification results of the airborne radar and the infrared imaging sensor by a D-S evidence theory; finally, identifying the target, and making decisions. In the invention, the airborne radar adopts the target identification method based on fuzzy reasoning to identify the target, thereby overcoming the defect of the high nondeterminacy of data measured by a radar sensor and finally realizing the data fusion of the airborne radar and the infrared imaging sensor. A simulation result shows that the identification effect of an intelligent target algorithm based on the airborne radar and the infrared imaging sensor is much better than that of single radar or single infrared sensor.

Description

technical field [0001] The invention belongs to the technical field of target recognition, and in particular relates to a target recognition method based on data fusion of airborne radar and infrared imaging sensors. Background technique [0002] In order to accurately grasp the battlefield situation and environment, and provide the aviation fire control center with the required combat information, correctly identifying the target has become the primary issue to be considered in winning the war. Target recognition technology plays an extremely important role in modern warfare, and all countries in the world are conducting in-depth research. Traditional target recognition is mainly based on radar sensors, but the congenital defects of radar make it face the "four major threats" such as "electronic countermeasures, anti-radiation missiles, ultra-low altitude penetration and stealth aircraft", which seriously affects its ability to perform on target. recognition applications. ...

AI Technical Summary

Problems solved by technology

Traditional target recognition is mainly based on radar sensors, but the congenital defects of radar make it face "four major threats" such as "electronic countermeasures, anti-radiation missiles, ultra-low-altitude penetration and stealth aircraft", which seriously affects its ability to detect targets. applications in identification

The infrared sensor has the advantages of high angle measurement accuracy, can provide target images and strong target recognition capabilities, but its disadvantages are that it has a short range of action, is greatly affected by the climate, and cannot provide information such as the distance of the target.

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