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008			230211s2013 sz | s |||| 0|eng d
020			_a9783031015403
024	7		_a10.1007/978-3-031-01540-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7871.6 _b2013 EB
100	1		_aCostantine, Joseph _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686703
245	1	0	_aDesign of Reconfigurable Antennas Using Graph Models _cby Joseph Costantine, Youssef Tawk, Christos Christodoulou
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XI, 136 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Antennas _x1932-6084
505	0		_aIntroduction to Reconfigurable Antennas -- Graph Modeling Reconfigurable Antennas -- Reconfigurable Antenna Design Using Graph Models -- Redundancy Reduction in Reconfigurable Antenna Structures -- Analyzing the Complexity and Reliability of Switch-Frequency Reconfigurable Antennas Using Graph Models -- Complexity Versus Reliability in Arrays of Reconfigurable Antennas -- Detection and Correction of Switch Failures in Switch Reconfigurable Antenna Arrays -- Conclusion -- Bibliography -- Authors' Biographies.
520			_aThis lecture discusses the use of graph models to represent reconfigurable antennas. The rise of antennas that adapt to their environment and change their operation based on the user's request hasn't been met with clear design guidelines. There is a need to propose some rules for the optimization of any reconfigurable antenna design and performance. Since reconfigurable antennas are seen as a collection of self-organizing parts, graph models can be introduced to relate each possible topology to a corresponding electromagnetic performance in terms of achieving a characteristic frequency of operation, impedance, and polarization. These models help designers understand reconfigurable antenna structures and enhance their functionality since they transform antennas from bulky devices into mathematical and software accessible models. The use of graphs facilitates the software control and cognition ability of reconfigurable antennas while optimizing their performance. This lecture also discusses the reduction of redundancy, complexity and reliability of reconfigurable antennas and reconfigurable antenna arrays. The full analysis of these parameters allows a better reconfigurable antenna implementation in wireless and space communications platforms. The use of graph models to reduce the complexity while preserving the reliability of reconfigurable antennas allow a better incorporation in applications such as cognitive radio, MIMO, satellite communications, and personal communication systems. A swifter response time is achieved with less cost and losses. This lecture is written for individuals who wish to venture into the field of reconfigurable antennas, with a little prior experience in this area, and learn how graph rules and theory, mainly used in the field of computer science, networking, and control systems can be applied to electromagnetic structures. This lecture will walk the reader through a design and analysis process of reconfigurable antennas using graph models with a practical and theoretical outlook.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9138526 _aAntenas
700	1		_aTawk, Youssef _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686704
700	1		_aChristodoulou, Christos G., _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686705 _d1955-
776	0	8	_iPrinted edition: _z9783031004124
776	0	8	_iPrinted edition: _z9783031026683
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01540-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI