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Journal Radioengineering №10 for 2016 г.
Article in number:
Self-leaning radiovision as a basis of standalone stationary digital radars paradigm
Keywords: radiovision standalone artificial intelligence neural network self-leaning attention model intersystem critic composite radiovision
Authors:
  1. L.V. Savkin - Expert of scientific department, NIO-1, PJSC «Radiofizika» (Moscow) E-mail: solaris.rafo@gmail.com
Abstract:

The general approach on creation of independent stationary digital radars based on application of artificial neural networks is offered. As a basis of the principles of structurally functional creation of independent stationary digital radars paradigm of the radar vision (radiovision) intellectual systems with elements of self-leaning which are built on the basis of the integrated neural network calculator is offered. Within the offered paradigm a row of the general requirements imposed to the modern standalone stationary digital radars is formulated. Special attention in operation is paid to problematic issues of neural network technologies application for creation standalone stationary digital radars. In particular, the questions concerning the principles of self-leaning of radiovision systems are considered, need of use the attention models as one of key characteristics of standalone digital radars is affected, and questions about involvement of concepts of intersystem critics are discussed. In operation a row of the intellectual radio portraiture methods based on application of some private neural networks models with at-traction of the modern Data Mind methods is considered. The possibility of creation of single composite radiovision systems on the basis of the integrated interaction of several standalone stationary digital radars covering big spatial and territorial areas is discussed. The option of an information structure of tasks of radar information processing solved by means of standalone stationary digital radars is offered.

Pages: 5-23
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