Ay. Tsym et Id. Deart, STATISTICAL NORMALIZATION OF THE ATTENUATION OF OPTICAL FIBERS IN THEREGENERATION SECTIONS OF OPTICAL-FIBER TRANSMISSION-SYSTEMS, Telecommunications & radio engineering, 48(5), 1993, pp. 18-23
The main primary communications networks in the future will be transmi
ssion lines based on optical-fiber cables. The signal transmission qua
lity in optical-fiber channels of transmission systems is governed to
a considerable extent by the parameters of the regeneration sections,
standardized during construction and operation. When standardizing the
most important parameter, namely, the attenuation of the optical powe
r, a fundamental difficulty arises due to the fact that the attenuatio
n factor of an optical fiber alpha and the losses at the joints betwee
n optical fibers alpha(j) are random. The transmission parameters of c
ables with copper strands also have random production spreads, but the
y do not exceed 1-2% of the nominal value and, as a rule, are ignored.
It is not possible to ignore the random nature of the attenuation fac
tor of an optical fiber since here the maximum acceptable values excee
d the minimum values by a factor of two or more. The losses at the joi
nts of optical fibers are even more random; their values are scattered
over a range from zero to the value of the attenuation of half a cons
tructional length of the cable. Nevertheless, the problem of taking th
e random nature of the losses of optical power into account has not be
en solved, and in the CCITT Recommendations [1-3], which reflect prese
nt-day technical experience, it is merely acknowledged and recommended
for further investigation. In the present paper we show that it is be
st to carry out a statistical normalization of the attenuation of an o
ptical fiber in the regeneration sections of an optical-fiber transmis
sion system. A constructional solution of the problem is obtained usin
g the central limit theorem of probability theory [6], which opens up
the possibility of determining the distribution of the sum of random q
uantities [7, 8]. In addition, as is also acceptable when considering
random quantities, an appropriate value of probability is assigned to
each range of values of attenuation.