Research on the Frequency Spectrum Management Method of VLF Based on the Propagation Prediction Technology

Jian Ping Zhou; Guang Ming Li

doi:10.4028/www.scientific.net/AMM.543-547.2180

Paper Titles

Application of Stack Filter on Image Processing
p.2163

The Research Based on Bayesian Behavior Recognition Technology
p.2167

A 2DPCA Based Semi-Supervised Learning and its Application on Face Recognition
p.2171

Research on Route Recovery Algorithm in Mobile Ad Hoc Network Based on On-the-Fly Strategy
p.2175

Research on the Frequency Spectrum Management Method of VLF Based on the Propagation Prediction Technology
p.2180

Researches on the Object-Oriented Model of Distributed Image Database
p.2184

Facial Expression Recognition Based on MATLAB
p.2188

Research on Speech Emotion Recognition Based on Weighted Euclidean Distance
p.2192

Design and Analysis of an Aircraft Assembly Posture Data Acquisition Experiment
p.2196

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Research on the Frequency Spectrum Management...

Research on the Frequency Spectrum Management Method of VLF Based on the Propagation Prediction Technology

Abstract:

VLF communication is one of the most effective means to command underwater platform. The spectrum resource of vlf communication is limited, so it is very important for enhance the reliability of vlf communication to strengthen the vlf communication spectrum management. It makes use of the well prediction of the vlf frequency band, to establish the signal field predicting model and atmospheric noise statistics predicting model respectively, predicts the field of signal and noise level, and then calculated the signal-to-noise ratio (SNR). According to the SNR distribution we can determine the relationship of the optimal communication frequency, time and location of receiver. So the efficiency of spectrum management for vlf communication can be enhanced.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2180-2183

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2180

Citation:

Cite this paper

Online since:

March 2014

Authors:

Jian Ping Zhou*, Guang Ming Li

Keywords:

Atmospheric Noise, Radio Wave Propagation, Spectrum Management, VLF

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Jerry A，Long Wave Propagation Model[R], Naval Ocean Systems Center, (1989).

Google Scholar

[2] John E. Bickel，VLF/LF Propagation Measurements[C], AGARD, May (1993).

Google Scholar

[3] Ferguson J.A. and Snyder F.P. The Segnented Waveguide Program for Long Wavelength Propagation Calculations[R]. Naval Ocean Systems Center San Dieho, California. 1997. 2.

Google Scholar

[4] Pappert R.A. and Shockey L.R. Simplified VLF/LF Mode Coversion Program With Allowance for Elevated Arbitrarily Oriented Electric Dipole Antennas[R]. (1976).

Google Scholar

[5] CCIR. World Distribution and Characteristics of Atmospheric Radio Noise[R], Report 322, Documents of the Xth Plenary Assembly, Geneva, Switzerland. (1963).

Google Scholar

[6] CCIR. World Distribution and Characteristics of Atmospheric Radio Noise[R], Report 322-3, Documents of the XVIth Plenary Assembly, Geneva, Switzerland. (1986).

Google Scholar

[7] Spaulding, A. D. and J. S. Washburn. Atmospheric Radio Noise: Worldwide Levels and Other Characteristics[R], U.S. Dept. of Commerce, NTIA Report 85-173. (1985).

Google Scholar

[8] Warber, C. R. and M. J. Shearer. Long Wave Noise Prediction[R], Vol. 2. User's Guide to the Computer Code LNP Version 3. 0, Pacific Sierra Research Corporation Report 2137, (1994).

Google Scholar