Abstract:
Detecting signals with hidden periodicity is a
wide and popular task in most complicated
technical systems. The fields, where this problem
is observed, can be astrophysics, engineering
and mechanics, adaptive control, information
control system, radio-localization and radio
technology, power engineering and
telecommunication, ecology and so on. In this
paper, process of signal detection under noise
background is considered by developing the
method based on synchronous detection. Here, it
is assumed that the signal is periodic in the
background of the noise and part of that signal is
partially lost. At the end, comparative empirical
results of different algorithms are presented by
computer modeling in different platforms and
final conclusions are described. At the end
comparative results which are received by
modeling of various algorithms are presented.
The conclusion contains the short review of a
problem and a method of its decision.
