A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System

Abstract

With the rapid development of science and technology, UAVs (Unmanned Aerial Vehicles) have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention. The UAV LiDAR detection system is susceptible to electromagnetic interference in a complex electromagnetic environment, which results in inaccurate detection and causes the mission to fail. Therefore, it is very necessary to predict the effects of the electromagnetic environment. Traditional electromagnetic environment effect prediction methods mostly use a single model of mathematical model and machine learning, but the traditional prediction method has poor processing nonlinear ability and weak generalization ability. Therefore, this paper uses the Stacking fusion model algorithm in machine learning to study the electromagnetic environment effect prediction. This paper proposes a Stacking fusion model based on machine learning to predict electromagnetic environment effects. The method consists of Extreme Gradient Boosting algorithm (XGB), Gradient Boosting Decision Tree algorithm (GBDT), K Nearest Neighbor algorithm (KNN), and Decision Tree algorithm (DT). Experimental results show that, comprising with the other seven machine learning algorithms, the Stacking fusion model has a better classification prediction accuracy of 0.9762, a lower Hamming code distance of 0.0336, and a higher Kappa coefficient of 0.955. The fusion model proposed in this paper has a better predictive effect on electromagnetic environment effects and is of great significance for improving the accuracy and safety of UAV LiDAR detection systems under the complex electromagnetic environment on the battlefield.

Metamaterial Absorbers with Archimedean Tiling Structures: Toward Response and Absorption of Multiband Electromagnetic Waves

“…Due to the high-speed development of modern electromagnetic wave application technology such as microwave communication, electromagnetic radiation and interference existing in the environment have gradually become non-negligible problems. − Electromagnetic radiation will not only cause thermal and nonthermal damage to the human body, − but the information transmitted by electromagnetic waves can also be easily captured and cause the exposure of people or weapons and equipment, which will greatly reduce the combat effectiveness of the military and seriously threaten national defense security. , Therefore, in order to cope with the threat of the increasingly mature detection technology with “omni-directional, large depth, all-weather, multilevel” and other significant features, , in-depth research and development of multifrequency band response of electromagnetic wave-absorbing materials and how to make the electromagnetic absorber have good absorption performance in multiple frequency bands, improve the broadband absorption efficiency, and realize the application requirements of “light mass, thin thickness, broadband, and strong absorption” has become a hot issue for the design of absorbers nowadays. − At present, for the above problems such as multiband response, if we solely rely on the characteristics of the raw material itself, it will have certain limitations and impacts on the wave-absorbing performance. − Therefore, the design and development of wave absorbers based on the design concept of metamaterials is a more effective solution. − …”