Research on electromagnetic environment effects for typical shortwave communication equipment

2011 ◽  
Author(s):  
Pan Xiaodong ◽  
Wei Guanghui ◽  
Geng Lifei ◽  
Zhu Genchun
Keyword(s):  
Electromagnetic Environment ◽  
Environment Effects ◽  
Shortwave Communication ◽  
Communication Equipment

Complexity Evaluation Method of Electromagnetic Environment Oriented to Communication Equipment Based on Statistic Theory

2014 ◽  
Vol 568-570 ◽  
pp. 1331-1335 ◽  
Author(s):  
Shao Jun Zhang ◽  
Dong Lin Su ◽  
Jian Wang ◽  
Rui Wang
Keyword(s):  
Evaluation Method ◽  
Correlation Energy ◽  
Subjective Evaluation ◽  
Correlation Factor ◽  
Electromagnetic Environment ◽  
Energy Correlation ◽  
Statistical Concept ◽  
Working Parameters ◽  
Communication Equipment ◽  
Polarization Correlation

To improve the objectivity and accuracy of evaluation for electromagnetic environment complexity and its influence on communication equipment, a subjective complexity evaluation method of electromagnetic environment oriented to the communication equipment is presented based on sensitivity and RF protection ratio of communication equipment. Based on statistical concept, the energy correlation factor is modified, and modulation and polarization correlation concept are imported into this method, by which the factor of energy correlation is modified and the subjective evaluation is made by analyzing the time domain correlation, frequency domain correlation, energy domain correlation, modulation correlation and polarization correlation of the electromagnetic environment. These simulation results indicate that communication equipment with various working parameters are influenced differently under the same electromagnetic environment. Namely, the complexities of electromagnetic environment for communication equipment with various working parameters are different.

GMSK Modulation Design in General Hardware-in-the-Loop Communication Simulator

2012 ◽  
Vol 182-183 ◽  
pp. 602-605
Author(s):  
Qian Zhang
Keyword(s):  
Wireless Communications ◽  
Design Thinking ◽  
Software Radio ◽  
Hardware In The Loop ◽  
Electromagnetic Environment ◽  
Communication Signals ◽  
Software Simulation ◽  
Reference Simulation ◽  
Environment Simulation ◽  
Communication Equipment

Hardware-in-the-loop communication equipment simulation is an important step of the development about communications and electromagnetic environment simulation. Reference to the "software radio" design thinking, the source library is generated by the software and different communication signals are generated by the fixed hardware frame. The system achieves “versatility”. GMSK in wireless communications has been widely applied. It is one of the important signals generated by the simulator. Based on analysis of the structure, the paper introduces the design of the simulator. It also provides the software simulation of Matlab. It provides a reference simulation for communications equipment and electromagnetic environment simulation.

Analysis of systemic electromagnetic environment effects based on Random Coupling Model

2014 ◽  
Vol 26 (6) ◽  
pp. 63203
Author(s):  
闫二艳 Yan Eryan ◽  
孟凡宝 Meng Fanbao ◽  
马弘舸 Ma Hongge
Keyword(s):  
Coupling Model ◽  
Electromagnetic Environment ◽  
Environment Effects ◽  
Random Coupling

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

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Min Huang ◽  
Dandan Liu ◽  
Liyun Ma ◽  
Jingyang Wang ◽  
Yuming Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Electromagnetic Interference ◽  
Detection System ◽  
Prediction Method ◽  
Gradient Boosting ◽  
Decision Tree Algorithm ◽  
Electromagnetic Environment ◽  
Fusion Model ◽  
Environment Effect ◽  
Environment Effects

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.

Substation Electromagnetic Environment of Electric Power Communication Equipment and Characteristic Parameters

2015 ◽  
Vol 73 ◽  
pp. 255-258 ◽  
Author(s):  
Haijie Ma ◽  
Weidong Zhang ◽  
Xiang Cui ◽  
Bo An ◽  
Yang Jin ◽  
...  
Keyword(s):  
Electric Power ◽  
Electromagnetic Environment ◽  
Characteristic Parameters ◽  
Communication Equipment
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