TY - JOUR
T1 - Refining ku-band rain attenuation prediction using local parameters in tropics
AU - Yaccop, A. H.
AU - Yao, Y. D.
AU - Ismail, A. F.
AU - Badron, K.
AU - Hasan, Mohammad Kamrul
PY - 2016
Y1 - 2016
N2 - Background/Objectives: Researches disclosed rain attenuation prediction models offered by ITU-R severely underestimate the signal attenuation in tropical region. Improvement can be accomplished by incorporating three in-situ parameters of prediction models. Methods/Statistical Analysis: The locally derived components are rainfall rate, rain height and specific attenuation coefficients. Beacon signal data for MEASAT-I satellite were sampled for one year. Sampling time of 1 minute was chosen for rainfall rate. Both attenuation and rainfall rate were represented in terms of annual cumulative distribution. Rain height data were gathered from related researches and visually compared with radar data of 10 convective and 30 stratiform rain events. Findings: In previous works, these components were treated separately. By combining all three components, rain attenuation prediction model with distinctive accuracy can be acquired compared to the previous results. All previous and current works exhibited significant improvement from the latest ITU-R P.618 revision 12 model. The new result closely fitted in with measured attenuation which was not present in any previous work. This was shown by RMS error of 2.02 dB at availability of 99.9% to 99.999% (0.1% to 0.001% exceedance). Application/Improvements: Accurate representation of fade margin can be included in link budget analysis by designers for satellite deployment in tropical region.
AB - Background/Objectives: Researches disclosed rain attenuation prediction models offered by ITU-R severely underestimate the signal attenuation in tropical region. Improvement can be accomplished by incorporating three in-situ parameters of prediction models. Methods/Statistical Analysis: The locally derived components are rainfall rate, rain height and specific attenuation coefficients. Beacon signal data for MEASAT-I satellite were sampled for one year. Sampling time of 1 minute was chosen for rainfall rate. Both attenuation and rainfall rate were represented in terms of annual cumulative distribution. Rain height data were gathered from related researches and visually compared with radar data of 10 convective and 30 stratiform rain events. Findings: In previous works, these components were treated separately. By combining all three components, rain attenuation prediction model with distinctive accuracy can be acquired compared to the previous results. All previous and current works exhibited significant improvement from the latest ITU-R P.618 revision 12 model. The new result closely fitted in with measured attenuation which was not present in any previous work. This was shown by RMS error of 2.02 dB at availability of 99.9% to 99.999% (0.1% to 0.001% exceedance). Application/Improvements: Accurate representation of fade margin can be included in link budget analysis by designers for satellite deployment in tropical region.
KW - ITU-R
KW - Ku-Band
KW - Rain Attenuation
KW - Satellite
KW - Tropical
UR - http://www.scopus.com/inward/record.url?scp=84979788895&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979788895&partnerID=8YFLogxK
U2 - 10.17485/ijst/2016/v9i25/97240
DO - 10.17485/ijst/2016/v9i25/97240
M3 - Article
AN - SCOPUS:84979788895
SN - 0974-6846
VL - 9
JO - Indian Journal of Science and Technology
JF - Indian Journal of Science and Technology
IS - 25
M1 - 97240
ER -