Electromagnetic target intelligent sensing identification method based on multi-feature heterogeneous fusion

Abstract

The invention provides an electromagnetic target intelligent perception identification method based on multi-feature heterogeneous fusion, and the method comprises the steps: firstly obtaining electromagnetic target signal source data information through a sensor, then carrying out the preprocessing of data through heterogeneous data extraction and multi-feature fusion, constructing a target template through a data sample, and building a target knowledge base; then, electromagnetic target sensing recognition based on a machine learning strategy is used for completing radiation source recognition, a recognition result obtained through a transfer learning strategy is stored in a target knowledge base, and a result obtained through an online learning strategy is used for updating the knowledge base. According to the method disclosed by the invention, the identification capability of the electromagnetic target is improved by more accurately describing the characteristics of the electromagnetic target, and online learning, transfer learning and the convolutional neural network are combined, so that the identification speed of the electromagnetic target and the robustness of a system to scene and sensing equipment transformation are improved.

Description

technical field [0001] The invention belongs to the field of target recognition, in particular to an electromagnetic target intelligent perception recognition method based on multi-feature heterogeneous fusion. Background technique [0002] We are in an invisible electromagnetic environment all the time. Through the feature extraction and identification analysis of the collected electromagnetic target signals, the type, specific location and related attributes of the corresponding electromagnetic target can be obtained. It is of great significance to study the construction of complex electromagnetic environments and the identification of electromagnetic targets. It also helps researchers better understand and grasp complex electromagnetic situations, and make decisions more scientifically and quickly. [0003] However, with the popularization and application of electrical and electronic equipment, the electromagnetic environment has become increasingly complex and changeable...

AI Technical Summary

Problems solved by technology

However, the existing electromagnetic target perception and recognition models mostly use a single feature for target identification, and it is often difficult to achieve accurate identification of electromagnetic targets.

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