Data fusion algorithm and system for multi-band radar target recognition

Abstract

The invention discloses a data fusion algorithm and system for multi-band radar target recognition. The system comprises: a data acquisition module used for acquiring electromagnetic echoes of an identified target body; a feature extraction module used for extracting echo data of the electromagnetic echoes; a data fusion module used for fusing the plurality of extracted feature data into feature data F by using a specific fusion algorithm; a category identification module used for classifying the identified target body according to the fused feature data F; and an image processing module usedfor converting the fused feature data F into a visual image by utilizing a technology and an image conversion principle. A radar system is used for emitting multiband electromagnetic waves, then linear discriminant analysis is carried out on multiband electromagnetic echoes of the identified target body to extract the features of the target, the features of the multiband electromagnetic echoes arefused, the fused features are classified through adoption of a classification algorithm, and therefore, the categories of the different identified target bodies can be obtained.

Description

technical field [0001] The invention relates to the field of radar target characteristic detection, in particular to a data fusion algorithm and system for multi-band radar target recognition. Background technique [0002] In modern warfare, due to the development of electronic offensive technology, active radar radar systems are facing increasingly serious threats from advanced weapons such as anti-radiation missiles and stealth aircraft, as well as combat methods such as integrated electronic interference and low-altitude penetration. Therefore, in order to improve the survivability of the radar and give full play to the effectiveness of the radar, various countermeasures must be adopted comprehensively. [0003] In the field of traditional active radar, many measures against the four major threats have been proposed, including the use of specially designed signal waveforms to achieve low interception, improving the mobility of radars to prevent attacks from anti-radiation...

AI Technical Summary

Problems solved by technology

This method uses two kinds of echo signals for target recognition, which has the disadvantage of low accuracy and can only be applied to the monitoring and recognition of civilian drones. The algorithm of target recognition is relatively rough and cannot meet the high requirements of military use. Precision and high accuracy requirements

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