The article is dedicated to advancing technologies in chaotic optical communication and investigating chaotic laser generation in measurement systems and instruments. It conducts an analysis of the informational potential of chaotic signals in the optical range and explores the feasibility of implementing chaotic dynamics in lasers. It is demonstrated that among the current challenges are precision and stable generation of chaotic laser modes, as well as precision and stable synchronization of chaotic laser generators. The definition of chaotic modes is proposed as a set of characteristic types of chaotic oscillations that are stable, distinguishable, and reproducible within an oscillatory system, along with a method for estimating the number of modes and their designation. A method for modulating pump energy using a Chua generator is suggested. Additionally, a model for precision control of chaotic laser generation is proposed, allowing for the generation of chaotic laser modes with the ability to measure and control laser emission parameters and chaotic dynamics based on monitoring small changes in control parameters and influencing factors.
This article illustrates a system for stabilizing objects in space based on integral fiber elements. The proposed system showed results commensurate with similar systems with a length of tens of kilometers of SMF-28 optical fiber, while using PANDA type optical fiber is only 200 m. In the work, a model of the system was developed and experimental studies of the response and angular velocity of the gyroscope were carried out.
KEYWORDS: Surveillance systems, Adaptive optics, Radar, Signal detection, Data processing, Control systems, Statistical analysis, Signal to noise ratio, Signal processing, Radar signal processing
The structure of information support for the airspace control system based on combined radar surveillance systems has been substantiated and investigated. This makes it possible to improve the quality of the detection of air objects, as well as to assess the accuracy of the location of the detected air objects. As a result, this improves the quality of information support for decision-makers in the airspace control system.
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