Atmospheric noise

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CCIR 322 atmospheric noise relationship. The standard has tables and maps that determine the noise figure at 1 MHz according to the season and the time of day. This graph converts that noise figure to other frequencies. Notice that the graph is spaced in 10 dB increments at 1 MHz.

Atmospheric noise is radio noise caused by natural atmospheric processes, primarily lightning discharges in thunderstorms. On a worldwide scale, eight million lightning discharges per day — about 100 lightning flashes per second.

Contents

[edit] History

In 1925, AT&T Bell Laboratories started investigating the sources of noise in its transatlantic radio telephone service[1].

Karl Jansky, a 22 year old researcher undertook the task. By 1930, a radio antenna for a wavelength of 14.6 meters was constructed in Holmdel, NJ, to measure the noise in all directions. Jansky recognized three sources of radio noise[2]. The first (and strongest) source was local thunderstorms. The second source was weaker noise from more distant thunderstorms. The third source was a still weaker hiss that turned out to be galactic noise from the center of the Milky Way. Jansky's research made him the father of radio astronomy[3].

[edit] Lightning

Atmospheric noise is radio noise caused by natural atmospheric processes, primarily lightning discharges in thunderstorms. It is mainly caused by cloud-to-ground flashes as the current is much stronger than for cloud-to-cloud flashes.[citation needed] On a worldwide scale, eight million lightning flashes occur daily. This is about 100 lightning flashes per second.[citation needed]

The sum of all these lightning flashes results in atmospheric noise. It can be observed[4] with a radio receiver in the form of a combination of white noise (coming from distant thunderstorms) and impulse noise (coming from a near thunderstorm). The power-sum varies with seasons and nearness of thunderstorm centers.

Although lightning has a broad-spectrum emission, its noise power increases with decreasing frequency. Therefore, at Very Low Frequency and Low frequency, atmospheric noise often dominates, while at High Frequency, man-made noise dominates in rural areas.

[edit] Survey

From 1960s to 1980s, a worldwide effort was made to measure the atmospheric noise and variations. This has been documented in the CCIR 322[5] publication. CCIR 322 provided seasonal world maps showing the expected values of the atmospheric noise figure Fa at 1 MHz during four hour blocks of the day. Another set of charts relates the Fa at 1 MHz to other frequencies. CCIR Report 322 has been superseded by ITU P.372[6] publication.

[edit] Random number generation

Atmospheric noise and variation is also used to generate high quality random numbers.[7] Random numbers have interesting applications in the security domain.[8]

[edit] See also

[edit] References

  1. ^ Singh (2005, pp. 402–408)
  2. ^ Singh (2005, pp. 404–405)
  3. ^ Singh (2005, p. 406)
  4. ^ Sample of atmospheric noise|url=http://www.ycars.org/EFRA/audio%20files/atmospheric%20noise.mp3
  5. ^ CCIR Report 322 Noise Variation Parameters|url=http://www.spawar.navy.mil/sti/publications/pubs/td/2813
  6. ^ ITU, Recommendation P.372: Radio Noise|url=http://www.itu.int/rec/R-REC-P.372/en
  7. ^ Haahr, Mads, Introduction to Randomness and Random Numbers, random.org, http://www.random.org/randomness/, retrieved November 14, 2011 , self-published.
  8. ^ http://www.random.org/
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