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Telecommunications and Radio Engineering

Publicado 12 números por año

ISSN Imprimir: 0040-2508

ISSN En Línea: 1943-6009

SJR: 0.185 SNIP: 0.268 CiteScore™:: 1.5 H-Index: 22

Indexed in

Invariant Transformation in Identification Theory

Volumen 60, Edición 10-12, 2003, 14 pages
DOI: 10.1615/TelecomRadEng.v60.i1012.30
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SINOPSIS

A generalized approach to tackling the problems on identifying the condition of natural media and objects by means of invariant models is discussed. Ways and techniques for synthesizing models using the tensor analysis are examined. A physical object along with the observation system is presented. In this study a procedure for optimizing multiposition radiophysical systems meant for the retrieval of data on natural media and objects is suggested. This method is based on equivalent transformations of a topological graph. The linear or nonlinear case is considered, and owing to a series of successive transformations of initial-space coordinates it has become possible to arrive at the configuration of a model, which offers minimal losses as decision are made about a specific object.

CITADO POR
  1. Pochanin G.P., Problems and promising lines of development of UWB ground penetrating radiolocation, 2004 Second International Workshop Ultrawideband and Ultrashort Impulse Signals (IEEE Cat. No.04EX925), 2004. Crossref

  2. Sytnik O., Pochanin G., Masalov S., Ruban V., Kholod P., Method for measurement of mobile objects coordinates by video-pulse radar, RADIOFIZIKA I ELEKTRONIKA, 23, 2, 2018. Crossref

  3. Sytnik O., Features of the quasi-optimal discrete signal processing, RADIOFIZIKA I ELEKTRONIKA, 24, 4, 2019. Crossref

  4. Sytnik O., Signal processing algorithm in multichannel radar for rescuers, RADIOFIZIKA I ELEKTRONIKA, 25, 2, 2020. Crossref

  5. Sytnik Oleg, Masalov Sergey, Kholod Pavel, Pochanin Gennadiy, Ruban Vadim, UWB Technology for Detecting Alive People Behind Optically Opaque Obstacles, 2018 9th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2018. Crossref

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