A New Algorithmic Approach for Detecting Hidden Periodicity of Noisy Signals in Technically Complicated Systems

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.