Water vapour, How gps works 4 5 6 – Leica Geosystems GPS Basics User Manual

Page 15

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GPS Basics -1.0.0en

How GPS works

4

5

6

a. Satellite elevation. Signals from low

elevation satellites will be affected more

than signals from higher elevation

satellites. This is due to the increased

distance that the signal passes through

the atmosphere.

b. The density of the ionosphere is

affected by the sun. At night, there is

very little ionospheric influence. In the

day, the sun increases the effect of the

ionosphere and slows down the signal.

The amount by which the density of the

ionosphere is increased varies with

solar cycles (sunspot activity).
Sunspot activity peaks approximately

every 11 years. At the time of writing, the

next peak (solar

max) will be

around the year

2000.
In addition to this,

solar flares can

also randomly

occur and also

have an effect on

the ionosphere.
Ionospheric errors

can be mitigated

by using one of

two methods:
- The first method

involves taking an

average of the

effect of the reduction in velocity of light

caused by the ionosphere. This correc-

tion factor can then be applied to the

range calculations. However, this relies

on an average and obviously this

average condition does not occur all of

the time. This method is therefore not

the optimum solution to Ionospheric

Error mitigation.
- The second method involves using

“dual-frequency” GPS receivers. Such

receivers measure the L1 and the L2

frequencies of the GPS signal. It is

known that when a radio signal travels

through the ionosphere it slows down at

a rate inversely proportional to it’s

frequency. Hence, if the arrival times of

the two signals are compared, an

accurate estimation of the delay can be

made. Note that this is only possible

with dual frequency GPS receivers. Most

receivers built for navigation are single

frequency.

c. Water Vapour also affects the GPS

signal. Water vapor contained in the

atmosphere can also affect the GPS

signal. This effect, which can result in a

position degradation can be reduced by

using atmospheric models.

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