Lisitsyna O. The methods of signals identification in data channels

The dissertation is devoted to the development of methods and facilities of signals identification at discrete data channels of computer systems with high level of natural and industrial noise. The research object is the discrete processes of transfer of information in data transmission channels with a high level of industrial and natural noise. The aim is to increase the efficiency of discrete data channels through the development of methods of signals identification in the conditions of intense natural or industrial noise. Research methods are based on the theory of transmission of discrete messages, probability theory and mathematical statistics, theory of noise immunity, noise immune theory coding, theory of finite fields. There are such methods have been developed at the research as: the method of phase-modulated noise-like signal identification, that uses vector-topological lattice; the method of maximum plausibility for identification of such signals as: the signal of beacon for the systems that have signal space that consists of one vector, signal of synchronization sequence for the systems that have signal space that consists of set of mutually vectors, signal of preamble for digital data systems in non-stationary channel; the method of cycles synchronization that uses the quick search seguences; the method of finding the noise and noise-like sequences by search of equidistant vectors; the method for the generation of M-sequences on the base of math model. There was researched the most effective construction of quick search seguences. Degree - the performed theoretical research work make suitable the techniques, algorithms and functional circuits for use in engineering practice. Field of use - data transmission in discrete channels of poor quality.