Research of the VLF Atmospheric Noise Statistical Prediction

Guang Ming Li; Chang Jun Li; Quan Na Li

doi:10.4028/www.scientific.net/AMM.716-717.1303

Paper Titles

An Improved Adaptive Beamforming Method for Spatially Non-Collocated Vector Sensor Array
p.1283

Optimum Design Algorithms and Simulation Analysis of Power Transmission Network Based on EPOCHS
p.1288

An Analog-Digital Clock DLL Control Circuit Used for High-Speed High-Resolution Digital-to-Analog Converter
p.1293

A New Method of Doppler Frequency and DOA Estimation Based on Gradient-Time-Delay
p.1298

Research of the VLF Atmospheric Noise Statistical Prediction
p.1303

Research on the Effects of Iron Loss to the Maximum Wind Power Point Tracking
p.1308

Energy-Efficient Resource Allocation in CoMP Systems with Backhaul Capacity Constraints
p.1312

Potential Function for Acoustic Multipole Logging on Guided Waves in Transversely Isotropic Medium
p.1318

An Improved Sensor Positioning for Wireless Sensor Networks
p.1322

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 716-717Research of the VLF Atmospheric Noise Statistical...

Research of the VLF Atmospheric Noise Statistical Prediction

Abstract:

The nature of the vlf atmospheric noise can have a dramatic effect on the performance of the vlf receivers. To understanding how the receivers will perform in different locations and time, the key is proper predicting the critical parameters of the vlf atmospheric noise. Based on the purpose, according to the historical data and the corresponding frequency and parameter variation chart, established the data fitting algorithm to predict the critical parameters of the vlf atmospheric noise. By simulating and comparing with the measured data, testified the effectiveness of the vlf atmospheric noise prediction method. To grasp the change rule of critical vlf noise parameters with time and geographical position is helpful to improve the vlf communication effectiveness.

You might also be interested in these eBooks

Mechanical Engineering and Materials Science

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 716-717)

Pages:

1303-1307

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.716-717.1303

Citation:

Cite this paper

Online since:

December 2014

Authors:

Guang Ming Li*, Chang Jun Li, Quan Na Li

Keywords:

Atmospheric Noise, Noise Intensity, Statistical Prediction, VLF

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Reuveni, Y., C. Price, E. Greenberg and A. Shuval. Atmospheric noise statistics from VLF measurements in the eastern Mediterranean. Radio Sci., 45, RSS015, doi: 10. 1029/2009RS004336. (2010).

DOI: 10.1029/2009rs004336

Google Scholar

[2] D. Chrissan and A.C. Fraser-Smith. Diurnal Variations of Globally Messured ELF/VLF Radio Noise. Report D177-2. June (1997).

DOI: 10.21236/ada358414

Google Scholar

[3] D. Chrissan and A.C. Seasonal variations of Globally Messured ELF/VLF Radio Noise. Report D177-1. Space, Telecommunications and Radio Science Laboratory. December (1996).

DOI: 10.21236/ada358414

Google Scholar

[4] Y. Yi. SLF and ELF electromagnetic wave propagation and noise. National Defence Industry Press. June (2011).

Google Scholar

[5] Fieve, S., P. Portala and L. Bertel. A new VLF/LF atmospheric noise model, Radio Sci., 42, RS3009, doi: 10. 1029/2006RS003513. (2007).

DOI: 10.1029/2006rs003513

Google Scholar

[6] D.C. Lawrence. CCIR Report 322 Noise Variation Parameters. Naval Command, Control and Ocean Surveillance Center. (1995).

Google Scholar