Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/207903
Title: Optimal Directional Antenna Arrays Designed For VHF And UHF Applications
Researcher: Mohanty Saumendra Kumar
Guide(s): Biswa Binayak Mangaraj
University: Veer Surendra Sai University of Technology
Completed Date: 
Abstract: In most of the applications it is essential to design an antenna with performance newlineparameters such as high Directivity (DR), narrow Half Power Beam-Width (HPBW) newlinelow Side-Lobe Level (SLL), high Front to Back Ratio (FBR), high Band Width (BW), newlinelow Voltage Standing Wave Ratio (VSWR), nulls in desired directions, proper input newlineimpedance (Zin), etc., to fulfill the demands of long-range wireless communication. In newlinethis regard single element antenna is not suitable so-far-as these performance newlineparameters are concerned. Therefore, to achieve the Desired Performance Parameters newline(DPPs), a suitable antenna is preferred. The DPPs are the non-linear function of all the newlinedesign parameters. In such a situation formulation of a proper Multi-Objective-Multi- newlineParameter (MOMP), non-linear objective/fitness function is highly essential to attain all newlinethe DPPs. In this dissertation, five different array structures are considered and newlinesubsequently designed optimally to achieve some of the above-mentioned performance newlineparameters for VHF and UHF applications. In fact, the conventional arrays designed as newlineper the theory in textbook do not provide the DPPs. Therefore, suitable robust newlineoptimization techniques need to be used to achieve optimal designs. In this regard, newlinesome of the important optimization techniques used in the dissertation are: Bacteria newlineForaging Optimization (BFO), Particle Swarm Optimization (PSO), Cuckoo Search newlineOptimization (CSO), Gravitational Search Optimization (GSO), Biogeography Based newlineOptimization (BBO), Fuzzy-logic biased GSO (FGSO), Fuzzy-logic biased BBO newline(FBBO), and Taguchi s Method of Optimization (TMO). newline newline
Pagination: 244 p.
URI: http://hdl.handle.net/10603/207903
Appears in Departments:Department of Electronics and Telecommunication Engineering

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01_title.pdfAttached File303.41 kBAdobe PDFView/Open
02_certificates & declaration.pdf69.34 kBAdobe PDFView/Open
03_acknowledgements.pdf79.52 kBAdobe PDFView/Open
04_contents.pdf94.94 kBAdobe PDFView/Open
05_preface.pdf542.22 kBAdobe PDFView/Open
06_list of tables & figures.pdf542.25 kBAdobe PDFView/Open
07_chapter 1.pdf394.05 kBAdobe PDFView/Open
08_chapter 2.pdf565.28 kBAdobe PDFView/Open
09_chapter 3.pdf1.07 MBAdobe PDFView/Open
10_chapter 4.pdf731.31 kBAdobe PDFView/Open
11_chapter 5.pdf1.37 MBAdobe PDFView/Open
12_chapter 6.pdf1.27 MBAdobe PDFView/Open
13_chapter 7.pdf1.1 MBAdobe PDFView/Open
14_chapter 8.pdf337.55 kBAdobe PDFView/Open
15_bibliography.pdf441.98 kBAdobe PDFView/Open
16_appendices.pdf720.76 kBAdobe PDFView/Open
list of abbreviations.pdf542.24 kBAdobe PDFView/Open
list of symbols.pdf542.22 kBAdobe PDFView/Open
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