Suppressing Intentional Electromagnetic Interference (IEMI) in Wireless Communication System Using Complex Signal Spectrum Shifting Technique

Wang, Jing-Gao; Xie, Hao; Xiao, Kaiqi; Chen, Ya-Zhou; Chen, Ji-Xin; Zhang, Yanyan; Wang, Yin

doi:10.1109/emcsi.2018.8495174

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…However, the noise can be defined as random signals that badly affect the performance whereas the EMI is a deterministic signal that may be intentional or non-intentional. The EMI can be affected by a lot of parameters which include; transmission power, noise margin, receiver sensitivity, and much more [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Study of Electromagnetic Interference Effects in Intelligent Reflecting Surfaces Aided Communication in Alamouti Coded 5G Networks

2022

International Journal of Telecommunications

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The cooperative communication techniques, wherein several transmitters and one receiver are implemented, can greatly increase the performance of a communication system. In fact, the cooperative communication has been launched since the fourth generation mobile systems. The two competing cooperative techniques are; relays and intelligent reflecting surfaces (IRS). It is known that the electromagnetic interference (EMI) can degrade a radio system performance. In this paper, the EMI, affecting an IRS-based communication system, is mathematically modeled and simulated. The interference level can be affected by the channel parameters which are the 5G path loss models. In order to improve the communication system performance, Alamouti codes are applied. The gain, offered by diversity codes "Alamouti", can reduce the degradation of the performance due to the EMI existence. The complete mathematical model is carried out as well as the simulation model. The simulation results show that the cooperative Alamouti-coded 5G radio systems have a satisfying performance even the EMI exists.

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Section: Introductionmentioning

confidence: 99%

Study of Electromagnetic Interference Effects in Intelligent Reflecting Surfaces Aided Communication in Alamouti Coded 5G Networks

2022

International Journal of Telecommunications

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“…(AlAjmi & Saed, ) A wavelet transforms and autocorrelation function–based approach for the high‐frequency switching noise cancellation has been presented, and this method extracts noise by using wavelet multiresolution analysis method, and uses the independent variable and amplitude of complex wavelet transform and the main frequency estimation of autocorrelation function to obtain the characteristics of the signal in the frequency domain and the time domain, so as to suppress noise. (Chen et al, ) A strategy to suppress intentional electromagnetic interference in communication link using complex signal spectrum shifting technique has been proposed,(Wang et al, ) and the simulated results of bit error rate in different signal to noise ratio (SNR) and signal to interference ratio (SIR) verify the effectiveness of the strategy.…”

Section: Introductionmentioning

confidence: 99%

An UAV Wireless Communication Noise Suppression Method Based on OFDM Modulation and Demodulation

Jia

Yan

2020

Radio Science

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In view of the problem that the unmanned aerial vehicle (UAV) communication link is vulnerable to strong electromagnetic pulse generated by lightning or high‐voltage transmission lines in the complex electromagnetic environment, the influence of the electromagnetic pulse generated by the high‐voltage transmission line of the EFT electromagnetic pulse and the surge electromagnetic pulse on wireless communication link are analyzed in this paper. When those electromagnetic pulse's noise field strength is 500 V/m, the bit‐error‐rate of the communication link is increased to 45.39%, 45.39%, and 46.10%, respectively, indicating that surge pulse has the strongest influence on the communication link. Therefore, a UAV noise suppression method based on the principle of orthogonal frequency‐division multiplexing (OFDM) modulation and demodulation and dual antenna design has been proposed in this paper. This method is used to filter out electromagnetic impulse noise after wireless signal reception, and then demodulate to achieve the goal of noise suppression. Applying the method to a certain type of UAV based on OFDM modulation and demodulation, and theoretical analysis and simulation results show that the proposed method can effectively suppress the electromagnetic pulse generated by high‐voltage transmission lines, EFT electromagnetic pulse, surge electromagnetic pulse, the bit‐error‐rate dropped to 0.005597%, 0.004531%, 0.005597%, respectively.

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Impact of the Electromagnetic Environment on UAV’s Datalink

Bennageh

Mahmoudi

Labbadi

2021

IOP Conf. Ser.: Earth Environ. Sci.

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The deployment of drones for any mission relies heavily on a ground control system. The UAV must therefore maintain a stable datalink with the ground control station to allow it to be controlled in real time by the ground operator. The evolution of drones in specific electromagnetic environments can seriously compromise data linkage, giving rise to electromagnetic susceptibility (EMS) issues. This article presents a review of the exploratory literature of electromagnetic interferences that the datalinks between UAVs and the ground station can face from the point of view of electromagnetic compatibility (EMC). The goal is to understand the effects of a given EM environment on the datalinks of an UAV system in order to predict its behaviour and perform the necessary precautions and improvements.

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Suppressing Intentional Electromagnetic Interference (IEMI) in Wireless Communication System Using Complex Signal Spectrum Shifting Technique

Cited by 4 publications

References 12 publications

Study of Electromagnetic Interference Effects in Intelligent Reflecting Surfaces Aided Communication in Alamouti Coded 5G Networks

Study of Electromagnetic Interference Effects in Intelligent Reflecting Surfaces Aided Communication in Alamouti Coded 5G Networks

An UAV Wireless Communication Noise Suppression Method Based on OFDM Modulation and Demodulation

Impact of the Electromagnetic Environment on UAV’s Datalink

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