11
ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Embed Size (px)

Citation preview

Page 1: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

ECE 5233 Satellite Communications

Prepared by:

Dr. Ivica Kostanic

Lecture 13: Propagation effect and link margin calculation

(Section 8.1-8.3)

Spring 2014

Page 2: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Page 2

Design for reliability

Components of the atmospheric losses

Abortion losses

Cloud losses

Losses associated with rain

Outline

Important note: Slides present summary of the results. Detailed derivations are given in notes.

Page 3: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Link performance and availability

Page 3

Key link budget equation

arr LFSPLGP EiRP

Pr – received power

EiRP – effective radiated power

FSPL – free space path loss

La – atmospheric losses

Note: La is a random variable that changes due to condition of the atmosphere between TX and RX

Two thresholds are defined

1. Performance threshold – link’s performance above target

2. Availability threshold – link is not available due to bad performance

Page 4: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Components of atmospherics losses

Many components of loss (green – attenuation, blue – depolarization and refraction)

o Atmospheric absorption (gaseous effects)

o Cloud attenuation (aerosol and ice particles)

o Rain attenuation

o Tropospheric scintillation (refractive effects)

o Ionospheric scintillation

o Faraday rotation (polarization loss)

o Rain and ice crystal depolarization

Losses are frequency dependent – affects different bands in different manner

All losses are random variables with spatial and temporal distribution

Many years of careful measurements have established spatial and temporal distribution of the loss contributing components

The most significant attenuation comes from rain effects (C, Ku and Ka bands)

Page 4

Note: Link design is performed with a margin that ensures that the system performance and availability targets are met for desired time. The margin is referred to as the “fade margin”

Page 5: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Atmospheric absorption

Atmospheric attenuation due to oxygen and water

Oxygen absorption peaks: 60GHz and 120GHs

Water vapor absorption peaks: 22GHz and 185GHz

Attenuation is relatively small for all frequencies below 50GHz

ITU graph provides zenith attenuation. For other elevation angles

Page 5Range of interest for commercial satellites

9010

sinlog10dBdB ,

el

elzatmatm aa

Note: typically margin of about 1dB is used for atmospheric losses

Page 6: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Cloud attenuation

Become important for frequencies above 10GHz

Difficult to predict due to wide variety of cloud types

On the order of 0.1 to 0.2 dB/km

Increases with frequency and temperature

Increases with lower elevation angles

Typical margin 1-2dB at frequencies around 30GHz (smaller for frequencies below)

Page 6

Reference: G. W. Stimson, Airborne Radar, SciTech Publishing, 1998

Note: the length of the satellite link path through the clouds is usually quite small except for very low elevation angles

Page 7: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Rain attenuation

Most significant source of attenuation in C, Ku and Ka satellite bands

Random attenuation – needs to be dealt with using probability tools

Three basic steps in calculating rain attenuationo Step 1: determine the rain rate threshold exceeded at a

given link reliability threshold

o Step 2: determine specific attenuation in dB/km corresponding to the rain rate

o Step 3: estimate the effective length of the path and calculate the overall rain attenuation

There are two broad categorieso Stratiform rain

o Convective rain

Stratiform rain o Over large geographic areas

o Relatively low rain rate

Convective raino Over small geographical areas

o High intensity thunderstorm

o Irregular profile of the rainfall

Satellite links reliability depends mostly on convective rains. There is usually enough margin in the link design for the low rates associated with the stratiform rains

Page 7

Note 1: only small portion of the satellite path goes through rain

Note 2: rain intensity along the path may vary

Page 8: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Rain characterization

Principle tool – cumulative distribution function (CDF) of rain rate

Curves accumulated over many years and are accurate on average

Significant variability from year to year – especially at low time percentages of interest to satellite design

Different sources provide different averaging time (time resolution)

o ITU recommends using 1min resolution

Different sources provide different spatial averaging

o ITU recommends interpolation methods

Page 8

Example CCDF curve for rain rate

0 20 40 60 80 100 120 140 160 180 20010

-4

10-3

10-2

10-1

100

101

rain rate [mm/h]

frac

tion

of t

ime

rain

rat

e is

exc

eede

d Example: Rain rate of80mm/h is exceeded in 0.2%of time

Note: CCDF curves are frequently given in tabular format

Page 9: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Rain climate maps

Developed by ITU

World divided into 15 different regions (A-Q)

Rain rate CDF tabulated for each climate region

The CDF based on long term average and are within +/- 10%

Not very accurate, but simple and widely used for basic calculations

Page 9

ITU climate map for the US

Percentage of time (%)

A B C D E F G H J K L M N P Q

10 0.1 0.5 0.7 2.1 0.6 1.7 3 2 8 1.5 2 4 5 12 24

0.3 0.8 2 2.8 4.5 2.4 4.5 7 4 13 4.2 7 11 15 34 49

0.1 2 3 5 8 6 8 12 10 20 12 15 22 35 65 72

0.03 5 6 9 13 12 15 20 18 28 33 33 40 65 105 96

0.01 8 12 15 19 22 28 30 32 35 60 60 63 95 145 115

0.003 14 21 26 29 41 54 45 55 45 105 105 95 140 200 142

0.001 22 32 42 42 70 78 65 83 55 150 150 120 180 250 170

Climate map rain rate CCDF in mm/h

Page 10: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Rainfall exceedance contour maps

Developed by ITU

Provide 1 min temporal resolution

ITU REC P.837-x provides method for calculating CCDF of rain rates

Recommendation provides 0.01 % maps

Page 10Example of ITU rainfall exceedance map (0.01%)

Note: ITU REC P.837-5 is uploaded to the website

Page 11: ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 13: Propagation effect and link margin calculation (Section 8.1-8.3) Spring 2014

Florida Institute of technologies

Example

Determine rain rate exceeded in 0.1% of time for Melbourne, FL

1. Using ITU climate maps

2. Using ITU exceedance curves

Answer:

3. 95 mm/hour

4. 80 mm/hour

Note: Melbourne is close to boundary between regions M and N. Using average between the two: (65+95)/2=80mm/hour

Page 11