Rain attenuation model based on ITU-R P.838-3 Recommendation

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SAM
SAM 2022 年 9 月 9 日
回答済み: Thomas Moore 2023 年 7 月 25 日
I would like to plot the rain attenuation model based on ITU-R P.838-3 Recommendation as shown in the graph below:
I tried to used "rainlp" command in MATLAB but I could not get the same graph.
Any ideas how to get this graph by MATLAB?
clear all;clc
freq=[1:1000]*1e9;
Rr=[0.25, 1.25, 5, 25, 50, 100, 150];
for i=1:7
L=rainpl(10000,freq,Rr(i));
plot(freq/1e9,L)
hold on
grid
end
  2 件のコメント
Thomas Moore
Thomas Moore 2023 年 7 月 21 日
I don't see that graph in ITU-R P.838-3; What source is it from? I'm also working with the matlab rainpl and comparing it with the formulae provided in the ITU-R publication.
Thomas Moore
Thomas Moore 2023 年 7 月 21 日
I'm alo curious in your solution and the answers submitted in response to your question, why you provided a range of 10000 meters (10 km) rather than 1 km if you're computing dB/km rather than total attenuation.

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回答 (2 件)

William Rose
William Rose 2022 年 9 月 9 日
freq=[1:1000]*1e9;
Rr=[0.25, 1.25, 5, 25, 50, 100, 150];
for i=1:7
L=rainpl(10000,freq,Rr(i));
loglog(freq/1e9,L)
ylim([0.01 Inf]);
hold on
grid
end
legend('Rr=0.25','1.25','5','25','50','100','150');
I replaced "plot" with "loglog" and I fixed the lower y axis limit at 0.01. This is similar to the graph you gave, but not identical. It seems Matlab's rainpl() has some differenrces from ITU-R P.838-3, at least at high rain rates.
Good luck.
  5 件のコメント
Thomas Moore
Thomas Moore 2023 年 7 月 21 日
Missed your answer before I posted mine. Noted the same about the figure and the distance discrepancy. I checked older ITU pubs which did not include the attenuation plot.
The best I can determine from the limited documentation is that for default call to rainpl(range, freq, rain-rate) that elev = 0 and tau = 0 (HH pol) as you stated. In the ITU pub, if elev = 90 (straight overhead) then k defaults to k = (kh + kv)/2 and alpha defaults to alpha = (kh*ah + kv*av)/2 * k
My approach will be to use the mean heights published in ITU 839.4 (very useful stats on height of 0 deg C isotherm), with h = h0 +.36 k, slant range computed thru the resulting h, and assume that matlab rainpl is using the effective distance per P530-17. Will plan to check that for comparison
It would be helpful to be able to extract the kh, kv, and alpha_v, alpha_h from rainpl to compare with other solutions.
Appreciate your answer to the original poster.
William Rose
William Rose 2023 年 7 月 23 日
@Thomas Moore, thank you for your careful and thoughtful analysis. You make a good point that it would be helpful to extract kh,kv,alpha_v, alpha_h.
@SAM, you could accept the answer given above. I think the differences betwwen the figure you showed originally and Matlab's plot have been throughly explained above.

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Thomas Moore
Thomas Moore 2023 年 7 月 25 日
Matlab's example vs elevation holds the range fixed and varies the elevation to show dependency. I think that illustrates the dependency in Rec. ITU-R P.838-3 equations 3, and 4 with the polarization angle tau defaulted at 0 deg or horizontal pol. If I want 1-way attenuation for 1km, then I believe I need to set the range to 1000 m, the elevation to 90 deg (incidence angle from direct vertical) and then either evaluate V pol (tau = 90), H pol (tau = 0), or circular (tau = 45, where the elevation angle does not impact eq 3 or 4). By my way of thinking (looking for comments) you need to set the range to the slant range of interest at the elevation of interest. Depending on your geometry, don't forget to account for earth, horizon, etc. Basically, I was experimenting with how to pass the parameters to the rainpl() and if they made sense. ITU 839.4 provides the altitudes for the 0 deg isotherm globally based on 50 years of stats. Gives a good bound on rain height to consider for a receive/transmit antenna on the surface vs lat, long. For a generic example, I picked a 4 km height for the 0 deg isotherm. At 4 km, the horizon is at ~ 226 km so a path piercing the 4 km height arrives at a 0 deg elevation w.r.t. a point on the surface.
I computed the 1-way path using the range and elevations showv above for a 10 GHz frequency and 3 mm/hour rain rate i.e.
L(n) = rainpl(range(n), 10e9, 3, elev(n)); Used the default tau for horizontal polarization.
I also computed the dB per km 1 way path computation with LdBkm = rainpl(1000, 10e9, 3, 90) and used the result to compare how the rainpl() estimate vs range and elevation compares with just a range(n)*LdBkm (straight line in plot below). The linear range*dB/km is within 0.5 dB until the slant range is about 40 km and then the rainpl() overall path attenuation starts to drop. I think this effect gets into the 'effective distance' discussed in the related ITU regs. I confess I haven't pulled that apart to compare it. Logically it makes sense in that it's difficult to image a homegenous rain layer out to 200+ km. Without knowing exactly what's under the matlab function hood I think it's building an effective distance into the range.

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