Electromagnetic environment characteristics in an urban area

Călin, M.; Ursachi, Corneliu; Helerea, Elena

doi:10.1109/iseee.2013.6674381

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…Trigubovich described the statistical characteristics of an electromagnetic environment in its time domain, frequency domain, and energy domain [7]. Calin et al used the experimental statistical method to study electromagnetic environments and analyzed the variations of the parameters of an electromagnetic eld with time and space [8]. Nyah used the statistical model of certainty to analyze the electromagnetic environmental parameters and their influence factors [9].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics Analysis and Applications of Electromagnetic Environment Based on Group Perception

Gao

Zhi

2022

International Journal of Antennas and Propagation

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In collectively perceiving an electromagnetic environment, the discrete or statistical method is used to characterize its characteristics. The information received by the sensor is not correlated with each other; therefore, there is no way to obtain the integral dynamic characteristics of an electromagnetic environment. Based on the statistical manifold and the information geometry theory, this paper takes group perception sensors in an electromagnetic space as an associated whole to measure an electromagnetic field in its space. The probability density function of the field distribution measured at any moment is mapped on to a statistical manifold. The “information distance” between the probability density functions of measurement samples at different moments of the statistical manifold is solved to reveal the changes in the whole electromagnetic environment. Simulations are carried out in assumed electromagnetic environments. The simulation results show that when a target enters the electromagnetic space and as its electromagnetic characteristics and positions change, the distribution of “KLD information distances” of its electromagnetic environment changes as well. The method can perceive the RCS of target with −26 dBsm and connect the target with its position information, indicating that the use of the “KLD information distance” distribution can characterize the integral dynamic characteristics of an electromagnetic environment.

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Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics Analysis and Applications of Electromagnetic Environment Based on Group Perception

Gao

Zhi

2022

International Journal of Antennas and Propagation

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“…Human exposure to electromagnetic fields, especially in the intermediate frequency (IF) and radio frequency (RF) ranges, has increased in recent years [ 1 , 2 ]. The IF range extends from 300 Hz to 10 MHz, as classified by the World Health Organization (WHO) under the Electromagnetic Fields Project [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of 150 kHz intermediate frequency electromagnetic radiation on fertility indicators in male rats

Sundaram

Mohammed²,

Zyuzikov³

2022

Heliyon

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“…In 2012, the contour map of E-field to show EM pollution generated by GSM-900 mobile phone networks in Erciyes University, Turkey, is given (Sorgucu & Develi, 2012). EME characteristics in seven areas of the Brasov city, Romania, during winter and summer are investigated in 2013 (Calin et al, 2013). And meanwhile, a field meter and a broadband probe (100 kHz to 3 GHz) are used to measure the electromagnetic radiation levels in urban areas, and the spatial statistics formalism is used to construct maps of electric field (Paniagua et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Measurement and Analysis of Electromagnetic Environment Characteristics on Wangjiang Campus of Sichuan University

Zhao

Chu

et al. 2019

Radio Science

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In this paper, the electromagnetic environment (EME) characteristics on Wangjiang campus of Sichuan University, a typical densely populated urban area, are measured and analyzed. According to the people's daily routine, the EME measurements are performed during daytime, nighttime, weekday, and weekend, respectively. By measuring the electric field (E‐field) values along the main roads on the campus, the maps of E‐field spatial distribution are obtained. Results indicate that the EME on the campus is relatively stable. The probability density functions of three orthogonal components of E‐field are all lognormal distribution and very similar to each other due to depolarization phenomenon and polarization rotation of multipath propagation. Moreover, the total E‐field is also lognormal distribution because of the high linear correlation between the components. In addition, E‐field were also measured over time on three different sites, playground, laboratory, and student dormitory, in order to get time‐varying characteristics of the EME. Results suggest how the people's activities influence on EME. All measurements on Wangjiang campus show that the maximum E‐field value is far below the regulatory exposure limits proposed by the International Commission on Non‐Ionizing Radiation Protection.

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Electromagnetic environment characteristics in an urban area

Cited by 8 publications

References 10 publications

Dynamic Characteristics Analysis and Applications of Electromagnetic Environment Based on Group Perception

Dynamic Characteristics Analysis and Applications of Electromagnetic Environment Based on Group Perception

Effects of 150 kHz intermediate frequency electromagnetic radiation on fertility indicators in male rats

Measurement and Analysis of Electromagnetic Environment Characteristics on Wangjiang Campus of Sichuan University

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