Fast measurement and prediction method for electromagnetic susceptibility of receiver

Aiming at evaluating and predicting rapidly and accurately a high sensitivity receiver’s adaptability in complex electromagnetic environments,a novel testing and prediction method based on dual-channel multi-frequency is proposed to improve the traditional two-tone test.Firstly,two signal generators are used to generate signals at the radio frequency(RF)by frequency scanning,and then a rapid measurement at the intermediate frequency(IF)output port is carried out to obtain a huge amount of sample data for the subsequent analysis.Secondly,the IF output response data are modeled and analyzed to construct the linear and nonlinear response constraint equations in the frequency domain and prediction models in the power domain,which provide the theoretical criteria for interpreting and predicting electromagnetic susceptibility(EMS)of the receiver.An experiment performed on a radar receiver confirms the reliability of the method proposed in this paper.It shows that the interference of each harmonic frequency and each order to the receiver can be identified and predicted with the sensitivity model.Based on this,fast and comprehensive evaluation and prediction of the receiver’s EMS in complex environment can be efficiently realized.

Deep learning-based method for detecting anomalies in electromagnetic environment situation

The anomaly detection of electromagnetic environment situation(EMES) has essential reference value for electromagnetic equipment behavior cognition and battlefield threat assessment.In this paper,we proposed a deep learning-based method for detecting anomalies in EMES to address the problem of relatively low efficiency of electromagnetic environment situation anomaly detection(EMES-AD).Firstly,the convolutional kernel extracts the static features of different regions of the EMES.Secondly,the dynamic features of the region are obtained by using a recurrent neural network(LSTM).Thirdly,the Spatio-temporal features of the region are recovered by using a de-convolutional network and then fused to predict the EMES.The structural similarity algorithm(SSIM) is used to determine whether it is anomalous.We developed the detection framework,de-signed the network parameters,simulated the data sets containing different anomalous types of EMES,and carried out the detection experiments.The experimental results show that the proposed method is effective.

The Measurement and Evaluation of the Electromagnetic Environment from 5G Base Station

In order to evaluate the electromagnetic environment of 5G base station, measurement and evaluation of the electromagnetic environment are studied. The 12 measuring points are chosen on the roof, inside and outside of the building, which has a 5G base station on the top. The electric field intensity, magnetic field intensity, and power density have been measured. The measurement methods include background measurement and work measurement. Background measurement is the measurement of environmental electromagnetic field (EMF) before the installation of 5G base station while the working measurement is the measurement after the installation of 5G base station. The evaluation methods include t-test for qualitative evaluation and electromagnetic gain for quantitative evaluation. The results show that the electromagnetic environment after the installation of 5G base station in most places is different from that in the background. And the environmental electromagnetic fields in certain parts are lower than those in the background. The conclusions are as follows: 1) The electromagnetic environment of 5G base station is far lower than the control limit of the national standard and conforms to the national standard;2) The electromagnetic environment of 5G base station has little impact on the electromagnetic environment;3) It is not sufficient to assume that 5G is harmful to health without the results of the epidemiological investigation;4) Before the construction of 5G base station, do background EMF detection, which can provide support for future evaluation.

Biomass-Derived Carbon Heterostructures Enable Environmentally Adaptive Wideband Electromagnetic Wave Absorbers

Although advances in wireless technologies such as miniature and wearable electronics have improved the quality of our lives,the ubiquitous use of electronics comes at the expense of increased exposure to electromagnetic(EM)radiation.Up to date,extensive efforts have been made to develop high-performance EM absorbers based on synthetic materials.However,the design of an EM absorber with both exceptional EM dissipation ability and good environmental adaptability remains a substantial challenge.Here,we report the design of a class of carbon heterostructures via hierarchical assembly of graphitized lignocellulose derived from bamboo.Specifically,the assemblies of nanofibers and nanosheets behave as a nanometer-sized antenna,which results in an enhancement of the conductive loss.In addition,we show that the composition of cellulose and lignin in the precursor significantly influences the shape of the assembly and the formation of covalent bonds,which affect the dielectric response-ability and the surface hydrophobicity(the apparent contact angle of water can reach 135°).Finally,we demonstrate that the obtained carbon heterostructure maintains its wideband EM absorption with an effective absorption frequency ranging from 12.5 to 16.7 GHz under conditions that simulate the real-world environment,including exposure to rainwater with slightly acidic/alkaline pH values.Overall,the advances reported in this work provide new design principles for the synthesis of high-performance EM absorbers that can find practical applications in real-world environments.

A Predictive 6G Network with Environment Sensing Enhancement:From Radio Wave Propagation Perspective

In order to support the future digital society,sixth generation(6G)network faces the challenge to work efficiently and flexibly in a wider range of scenarios.The traditional way of system design is to sequentially get the electromagnetic wave propagation model of typical scenarios firstly and then do the network design by simulation offline,which obviously leads to a 6G network lacking of adaptation to dynamic environments.Recently,with the aid of sensing enhancement,more environment information can be obtained.Based on this,from radio wave propagation perspective,we propose a predictive 6G network with environment sensing enhancement,the electromagnetic wave propagation characteristics prediction enabled network(EWave Net),to further release the potential of 6G.To this end,a prediction plane is created to sense,predict and utilize the physical environment information in EWave Net to realize the electromagnetic wave propagation characteristics prediction timely.A two-level closed feedback workflow is also designed to enhance the sensing and prediction ability for EWave Net.Several promising application cases of EWave Net are analyzed and the open issues to achieve this goal are addressed finally.

Electromagnetic environments in roadways of underground coal mines and a novel testing method

The electromagnetic environment of laneways in underground coal mines is an important area for the design of new electronic products,as well as a fundamental space for mine monitoring,surveillance,communications and control systems.An investigation of electromagnetic interference in coal mines is essential for the enhancement of performances of these systems.In this study,a new field method is provided in which radiated emission tests in coal mine laneways have been carried out.We conclude that:1) the wiring motor vehicles can radiate interference with a bandwidth up to 1 GHz and with an amplitude 10 dBμV/m higher than the background noise;2) the PHS(Personal Handy phone System) mobile communication system can cause interference 40 dBμV/m higher than the background noise;3) an interference 25 dBμV/m higher than the background noise can be generated during the communication at a working bandwidth of 48.8 MHz;and 4) power cables,battery vehicles as well as mechanical and electrical dong rooms have little effect on the electromagnetic radiation environment in coal mine tunnels.

Research on Distribution of Electromagnetic Environment around Substations and Optimization Layout of On-line Monitoring

The characteristics and distribution law of electromagnetic environment around substations with different levels of voltage were studied,and the main influencing factors were discussed. Meanwhile,a scheme for locating monitoring points suitable for an on-line monitoring system of electromagnetic environment was proposed.

A Spectrum Prediction-Based Frequency Band Pre-Selection over Deteriorating HF Electromagnetic Environment

As the earliest invented and utilized communication approach, shortwave, known as high frequency(HF) communication now experience the deterioration of HF electromagnetic environment. Finding quality frequency in efficient manner becomes one of the key challenges in HF communication. Spectrum prediction infers the future spectrum status from history spectrum data by exploring the inherent correlations and regularities. The investigation of HF electromagnetic environment data reveals the correlations and predictability of HF frequency band in both time and frequency domain. To solve this problem, we develop a Spectrum Prediction-based Frequency Band Pre-selection(SP-FBP) for HF communications. The pre-selection of HF frequency band mainly incorporated in prediction of HF spectrum occupancy and prediction of HF usable frequency, which provide the frequency band ranking of spectrum occupancy and alternative frequency for spectrum sensing, respectively. Performance evaluation via real-world HF spectrum data shows that SP-FBP significantly improves the efficiency of finding quality frequency in HF communications.

Guided and Direct Wave Evaluation of Controlled Source Electromagnetic Survey Using Finite Element Method

Deep target hydrocarbon detection is still challenging and expensive. Direct hydrocarbon indicators (DHIs) in seismic data do not correspond to economical hydrocarbon exploration. Due to unreliability in seismic data for the detection of DHIs, new methods have been investigated. Marine controlled source electromagnet (MCSEM) or Sea bed logging (SBL) is new method for the detection of deep target hydrocarbon reservoir. Sea bed logging has also the potential to reduce the risks of DHIs in deep sea environment. Modelling of real sea environment helps to reduce the further risks before drilling the oil wells. 3D electromagnetic (EM) modelling of seabed logging requires more accurate methods for the detection of hydrocarbon reservoir. Finite element method (FEM) is chosen for the modelling of seabed logging to get more precise EM response from hydrocarbon reservoir below 4000 m from seabed. FEM allows to investigate the total electric and magnetic fields instead of scattered electric and magnetic fields, which shows accurate and precise resistivity contrast below the seabed. From the modelling results, It was investigated that Hz field shows higher magni- tude with 342% than the Ex field. It was observed that 0.125 Hz frequency can be able to show better resistivity contrast of Hz field (31.30%) and Ex field (16.49%) at target depth of 1000 m below seafloor for our proposed model. Hz and Ex field delineation was found to decrease as target depth increased from 1000 m to 4000 m. At the target depth of 4000 m, no field delineation response was seen from the current electromagnetic (EM) antenna used by the industry. New EM antenna has been used to see the EM response for deep target hydrocarbon detection. It was investigated that novel EM antenna shows better delineation at 4000 m target depth for Ex and Hz field up to 10.3% and 15.1% respectively. Novel EM antenna also shows better Hz phase response (128.4%) than the Ex phase response (38.3%) at the target depth of 4000 m below the seafloor.

Research Progress of On-line Monitoring Technology for Electromagnetic Environment of Power Transmission and Transformation Projects

Based on the collection of relevant literature and cases,the research and application status of on-line monitoring technology for electromagnetic environment of power transmission and transformation projects at home and abroad were introduced.Moreover,the problems existing in the on-line monitoring of electromagnetic environment were expounded,and the development prospect was forecasted.

Study on the Simulation Technique for Urban Electromagnetic Environment Supported by GIS

Electromagnetic radiation environment is one of the important environmental factors. In resent 20 years, the applications of electromagnetic technology became more and more popular. However, electromagnetic environment makes some negative impacts on the surrounding environments and human health, and Environmental Management and Research Department pay a lot attention to it. It will make a great significance if we study of the simulation technique for urban electromagnetic environment which supported by GIS. This paper presents some key technologies of the electromagnetic environment simulation, including terrain rendering, city building modeling and volume data superposition, basically realize the visualization of volume data (electromagnetic fields) based on city building model and real time mapping of virtual scene data.

Analysis of Electromagnetic Environment Effect Using TDIE-FDTD-MNA Hybrid Algorithm

It is important but difficult to analyze the electromagnetic environment effect(E3) in the designing of modern airborne,sea,space,and ground systems.Thus a hybrid algorithm of time domain integral equation,finite difference time domain and modified nodal analysis(TDIE-FDTD-MNA) is developed to analyze the E3 of complex systems with cables and nonlinear circuit structures.The plane wave time domain(PWTD) enhanced TDIE method is adopted to solve field problems.The higher order FDTD(2,4) is adopted to solve cable problems.The MNA is adopted to obtain the response of complex circuits(with nonlinear structures).Numerical examples demonstrate the effectiveness of the proposed algorithm.

电磁脉冲电场测量技术研究综述

宽频带大动态范围的脉冲电场测量是电磁脉冲效应、防护以及电磁兼容等相关领域的一项共性基础技术,在过去50年以来受到研究人员的广泛关注,并发展出不同手段的测量技术。无源微分(D-dot)测量传感器带宽相对较高,但尺寸较大、集成度低;有源光纤测量系统最大测量带宽约为1 GHz,尺寸相对较小、集成度高、实用性强。集成光学传感器作为一种带宽宽、体积小的无源传感器,各国均有研究。本文主要回顾上述几种脉冲电场测量技术近期研究进展,并结合发展现状分析脉冲电场测量技术存在的挑战和未来可能的研究方向,为相关领域研究人员提供参考。

装备复杂电磁环境适应性试验标准体系框架研究

复杂电磁环境适应性试验是进行装备试验鉴定的重要环节,也是近年来探索研究的热点问题。开展装备复杂环境适应性试验标准化研究,推动形成一系列试验标准,是规范装备复杂电磁环境适应性试验、进一步提升装备能力水平的重要环节。通过梳理国内外复杂电磁环境方面的标准现状,在分析装备复杂电磁环境适应性内涵及试验关键环节的基础上,提出了复杂电磁环境适应性试验标准体系的初步框架,可为后续进一步开展装备试验鉴定标准体系规划论证提供参考和借鉴。

多因素影响下无人机编队任务可靠性模型构建研究

针对多因素影响下无人机(unmanned aerial vehicle,UAV)编队任务可靠性问题,提出了无人机编队任务可靠性双层模型。首先,基于故障树分析方法,构建了无人机编队任务可靠性下层模型,描述无人机编队的故障状态;其次,基于Markov模型构建无人机编队任务可靠性上层模型,描述无人机编队任务过程中,阶段及状态的转换;最后,建立任务可靠度求解的双层模型对无人机编队任务可靠度进行仿真模拟。设定应用场景仿真验证,仿真结果表明:在起飞/爬升阶段和巡航阶段,本文方法与传统故障树法所计算的任务可靠度结果一致;在侦察阶段,本文方法比传统故障树法的任务可靠度计算结果高0.012 5,给定显著性水平,本文算法的可靠度结果均落在置信区间内,验证了计算结果的可信性。

射电宁静天空保护进展

射电天文业务(radio astronomy service,RAS)通过探测来自宇宙的无线电信号开展天文研究。由于射电望远镜的高灵敏度,极易受到来自望远镜本身的电磁辐射,及移动通信业务和卫星业务等主动无线电业务射频干扰(radio frequency interference,RFI)的影响,因此保护射电宁静天空是支撑射电天文观测研究取得科学成果的重要基础。近期,国内射电天文设施发展迅速,如500 m口径球面射电望远镜(Five-hundred-meter Aperture Spherical radio Telescope,FAST)已取得众多突出成果,新疆奇台110 m射电望远镜正在建设等。与此同时,主动无线电业务的快速增加,导致国内射电望远镜无线电环境逐渐恶化。为保护RAS所需的射电宁静天空,国内开展了相关的技术研究,并采取了频谱管理措施,如射电望远镜电磁兼容(electromagnetic compatibility,EMC)技术研发、评估RAS与主动无线电业务的兼容性、在射电望远镜周边设立电磁波宁静区(radio quiet zone,RQZ)、参与国际与国内频谱管理协调等,本文进行了总结陈述。这些工作,有效地保护了国内射电望远镜周边的电磁环境。

电磁波击落无人机的机理剖析和验证

民用无人机大量普及,飞行故障不断出现。为提高强电磁环境下无人机的电磁防护能力,快速准确定位敏感部件及干扰传播路径,提出一种无人机近场注入噪声技术方案,通过向无人机注入交变电场和磁场干扰,以重现无人机在强电磁环境下的跌落现象。文章介绍了敏感部件及敏感性质、干扰入侵路径、受扰阈值的确认方法,对无人机进行电磁防护加固措施的验证具有一定的参考意义。

750kV单回并行输电线路电磁辐射环境研究

采用《环境影响评价技术导则输变电》(HJ 24—2020)附录C、D推荐的计算模式对750 kV单回并行输电线路电磁辐射环境进行计算与预测。结果表明,经过耕地、园地、牧草地、畜禽饲养地、道路等场所,当导线对地最小高度为15.5 m时,单回并行线路下的工频电场强度最大值超过10 kV/m;需将导线对地最小高度提至16.5 m,才能满足4 kV/m控制限值要求。750 kV单回并行输电线路产生的工频磁场强度小于公众曝露控制限值(100μT),一般情况下不会成为线路建设的环境制约因素;但其产生的工频电场是电磁环境影响的主要因素,电场强度控制限值(4 kV/m)是线路建设的环境制约因素,同时也是输变电电磁环境重点控制因素。现场实测结果与理论预测结果符合性较好,表明采用的预测模式具有较好的应用性,研究结果可为750 kV单回并行输电线路的建设和环境监管提供支持。

区域环境电磁辐射监测技术研究

随着社会信息化程度不断提高,复杂多变的电磁波信号充斥着整个空间,如何准确、有效地获取电磁环境监测数据成为科学评估区域环境电磁辐射水平的关键。本文基于环境电磁辐射影响特点,在我国现有标准和监测实践基础上,对标国际组织工作成果,探讨并提出以车载巡测和网格监测方式开展区域环境电磁辐射监测,为进一步完善现有电磁环境监测工作指明了方向,同时也为提升我国电磁环境监管效能提供技术借鉴。