DocumentCode :
1746210
Title :
Statistical processing of radiometer data using MATLAB
Author :
Rocha, A.C. ; Corga, A. ; Oliveira, V. ; Neves, J.C.
Author_Institution :
Inst. of Telecommun., Aveiro Univ., Portugal
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
177
Abstract :
Future communication systems will operate at frequencies above 20 GHz. Attenuation contributions due to gases and clouds must be considered to predict the availability of communications systems, such as VSATs and others, that will have reduced fade margins. Fade countermeasure techniques´ development and performance will also need higher order statistics for the channel behaviour other than cumulative attenuation distributions. The processing of the measured microwave atmospheric propagation data, or related data, to get meaningful and reliable statistics of the channel is an important task to develop, test and improve modelling. We here describe an implementation and facilities of MATLAB data processing software to derive cumulative distributions, fade and inter-fade occurrences, as well as related statistical results
Keywords :
electromagnetic wave absorption; electromagnetic wave scattering; fading channels; higher order statistics; microwave propagation; millimetre wave propagation; radiometry; satellite links; tropospheric electromagnetic wave propagation; 21.3 GHz; 31.7 GHz; MATLAB data processing software; VSAT; attenuation contributions; channel behaviour; clouds; communication systems; cumulative attenuation distribution; cumulative distributions; fade countermeasure; fade margins; fade occurrences; gases; higher order statistics; inter-fade occurrences; microwave atmospheric propagation data; radiometer data; statistical processing;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Antennas and Propagation, 2001. Eleventh International Conference on (IEE Conf. Publ. No. 480)
Conference_Location :
Manchester
Print_ISBN :
0-85296-733-0
Type :
conf
DOI :
10.1049/cp:20010265
Filename :
927640
Link To Document :
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