Comparison of ITU-837 Models Performance in Predicting Malaysia's
Rainfall Rate and Rain Attenuation CCDF
This paper investigates the performance of different ITU models in
predicting Malaysia ′s tropical rainfall rates and
rain attenuation. This investigation is considered at 26GHz mm-wave
frequency, and three datasets collected at different regions in Malaysia
with emphasize on the latest dataset in Skudai in 2012. The data
collected has rainfall rate and rain attenuation measurements for a
continuous year at 1 spm sampling rate. Nonlinear regression is used to
estimate best fit parameters for comparison with ITU-R p.837-1 with rain
zone data, ITU-R p.837-6 as method 1 and ITU-R p.837-7 as method 2.
Results show that ITU method 2 outperforms all the models with RMSE in
the range of 12.72 mm/hr and 3.51 dB/km for rainfall rate and rain
attenuation respectively. Conversely, absolute error at 0.01% of time
showed superiority of ITU-R p.837-1 tropical recommendation with
absolute error in the range of 0.39 mm/hr and 4.16 dB/km for rainfall
rate and rain attenuation respectively. All models showed significant
deviation from the measurements and the best fit at lower than 0.01% of
time, with minimum deviation observed for of ITU method 2 in that range.
Worst month parameters estimation using ITU method2 is in good match to
the best fit estimation.