國立高雄大學圖資館 |

Language: English

Back

Design and Location Optimization of ...

Chalas, Jeffrey.

Design and Location Optimization of Electrically Small Antennas Using Modal Techniques.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Design and Location Optimization of Electrically Small Antennas Using Modal Techniques.
Author:	Chalas, Jeffrey.
Description:	123 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.
Notes:	Advisers: John Volakis; Kubilay Sertel.
Contained By:	Dissertation Abstracts International76-11B(E).
Subject:	Electrical engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3710112
ISBN:	9781321859539

Design and Location Optimization of Electrically Small Antennas Using Modal Techniques.
Chalas, Jeffrey.

Design and Location Optimization of Electrically Small Antennas Using Modal Techniques. - 123 p.

Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.

Thesis (Ph.D.)--The Ohio State University, 2015.

In this dissertation, the Theory of Characteristic Modes is used as a framework for the design, optimization, and benchmarking of electrically small radiating systems. The foundation of this work is in the theory of Characteristic Modes, an eigenvalue equation of the Method of Moments impedance matrix [ Z], that leads to derive the fundamental radiation modes of arbitrary-shaped bodies. After an overview of small antenna theory, we derive a new method for computing the Q factor of arbitrary-shaped radiating bodies using CMs using only the Method of Moments impedance matrix [ Z]. Following this derivation, we present a new method for computing the fundamental limits on Q (and thus bandwidth) for arbitrary-shaped antennas. As a by-product of this method, we extract the optimal current distribution as a function of antenna shape for design guidelines. We further extend this theory to find the Q limits of arbitrary-shaped antennas and antenna-platform systems, subject to specific radiation pattern requirements.

ISBN: 9781321859539Subjects--Topical Terms:

454503
Electrical engineering.

Design and Location Optimization of Electrically Small Antennas Using Modal Techniques.
LDR:02711nmm a2200277 4500 001 476083
005 20160418090150.5
008 160517s2015 ||||||||||||||||| ||eng d
020 $a 9781321859539
035 $a (MiAaPQ)AAI3710112
035 $a AAI3710112
040 $a MiAaPQ $c MiAaPQ
100 1 $a Chalas, Jeffrey. $3 730351
245 1 0 $a Design and Location Optimization of Electrically Small Antennas Using Modal Techniques.
300 $a 123 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.
500 $a Advisers: John Volakis; Kubilay Sertel.
502 $a Thesis (Ph.D.)--The Ohio State University, 2015.
520 $a In this dissertation, the Theory of Characteristic Modes is used as a framework for the design, optimization, and benchmarking of electrically small radiating systems. The foundation of this work is in the theory of Characteristic Modes, an eigenvalue equation of the Method of Moments impedance matrix [ Z], that leads to derive the fundamental radiation modes of arbitrary-shaped bodies. After an overview of small antenna theory, we derive a new method for computing the Q factor of arbitrary-shaped radiating bodies using CMs using only the Method of Moments impedance matrix [ Z]. Following this derivation, we present a new method for computing the fundamental limits on Q (and thus bandwidth) for arbitrary-shaped antennas. As a by-product of this method, we extract the optimal current distribution as a function of antenna shape for design guidelines. We further extend this theory to find the Q limits of arbitrary-shaped antennas and antenna-platform systems, subject to specific radiation pattern requirements.
520 $a In the second part of the thesis, we use the Theory of Characteristic Modes to optimize the location and excitation of single and multiple in-situ ESAs mounted on finite, sub-wavelength platforms as relates to unmanned aerial vehicles (UAVs). By properly analyzing the CMs of the supporting platform, we show that a complex, multivariate optimization problems can by radically simplified using CMs. Based on this capability, we present a new, systematic design methodology for location optimization of small antennas on-board finite platforms. The approach is shown to drastically reduce the time, computational cost, and complexity of a multi-element in-situ antenna design, as well as providing significant performance improvements in comparison to a typical single-antenna implementations.
590 $a School code: 0168.
650 4 $a Electrical engineering. $3 454503
690 $a 0544
710 2 $a The Ohio State University. $b Electrical and Computer Engineering. $3 531009
773 0 $t Dissertation Abstracts International $g 76-11B(E).
790 $a 0168
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3710112