Purpose. The creation of a software model of a radio engineering system taking into account nonlinear signal transformations will allow the development of appropriate test methods and recommendations for implementation in production.
Scope. Enterprises of the instrument-making and radio engineering industries.
Advantages. The authors are not aware of cases of taking into account nonlinear signal distortions and interference on the efficiency of RTS operation and signal processing algorithms that would ensure high noise immunity of radio engineering systems under conditions of high-energy interference.
Technical and economic effect. The creation of a computer model of a radio engineering system taking into account nonlinear signal transformations will allow the study of the efficiency of existing and the development of new target detection algorithms against an arbitrary interference environment in order to increase the noise immunity of radars by means of software mathematical or semi-naturalistic modeling. This will allow the development of appropriate test methods and recommendations for implementation in production, and this, as a result, will significantly increase the noise immunity and competitiveness of domestic RTS.
Description. The concept of controlled dynamic saturation has been developed, which allows generalizing and unifying the methodology for developing mathematical models of functional modules of signal paths of RTS for various purposes. A method for approximating nonlinear characteristics of active components and structures based on dynamic saturation functions has been proposed. In terms of its capabilities, the proposed method exceeds the capabilities of the approximation method using power series and polyexponential approximation. A mathematical model of a pulse radar with a space-time adaptive filter has been developed, taking into account nonlinear effects in receiving channels that arise under conditions of intense interference. The radar model allows arbitrary changes in the dynamic range of receiving channels and simulating different types of nonlinear distortions of signals and interference.