The development of a new adaptive system of radar data semantic analysis with their non-stationarity, which is based on both numerical and logical methods of multiscanning processing of signals and methods of artificial intelligence using fuzzy transformations of the universe of signals and signal images, is proposed. The possibility of its hardware and software implementation is considered. The results of computer modeling, theoretical and experimental researches with processing of real radar signals are presented. The elements of logical analysis and algebra of finite predicates (AFP) are selected as mathematical apparatus. As experimental studies show, AFP is an appropriate tool for logical-mathematical constructions, with which it's possible to describe the radar operator actions. The basic concepts of Boolean algebra and graph theory are also used. The practical value of the work is: a method for formalizing the processes of perception and transformation of signals and signal images, algorithms and software are intended for information radar systems with natural-language intellectual interface; also for support the design of information structures. Mathematical and software results can be used in the systems of automatic processing of radar information, particularly, in the intelligent radar and radio-electronic systems and complexes for monitoring of mobile air and ground objects.
The article discusses a method for dealing with non-stationary natural and simulating interference in intelligent surveillance radars. When creating simulating marks, the introduction of amplitude modulation into the relayed radar sounding signal is used. As a result of the analysis, it was possible to find out that in the imitating noise, in this case, the so-called "intelligent" fluctuations of the burst structure of false marks appear, which differ from the fluctuations of the packs of real marks and can be easily detected by a human operator. The method is based on the definition of semantic components at the stage of formation and analysis of a symbolic model of amplitude fluctuations of a burst of signals from non-stationary natural and simulating interference and from real moving objects. In this case, the semantic features of amplitude fluctuations are determined by solving predicate equations for transforming these fluctuations into symbolic images of noise marks and real mobile aircraft. As a result of semantic analysis of the amplitude fluctuations of the burst in the time domain, classification distinctive features of fluctuations in the burst of signals from natural imitating noise and air objects were obtained. The semantic components of the decision-making algorithm are investigated, which are similar to the decision-making algorithms by a human operator. Process knowledge of transforming radar signals into symbolic images of amplitude fluctuations of a burst in the time domain is formalized. The formalization of the processing of symbolic images includes a system of predicate equations, by solving which the types of amplitude fluctuations of the burst are identified. Based on the results of experimental data, the transformations of real radar signals into symbolic images of burst fluctuations were carried out on the basis of the algebra of finite predicates. The authors also managed to propose these transformations to be used as the basis of an effective toolkit for obtaining classification distinctive features of packet fluctuations from interference and from aircraft.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.