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Advanced Antenna Techniques for Cogn...

Kantemur, Adnan.

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Advanced Antenna Techniques for Cognitive Radio and Millimeter Wave Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced Antenna Techniques for Cognitive Radio and Millimeter Wave Applications./
作者:	Kantemur, Adnan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	197 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
Contained By:	Dissertations Abstracts International83-01B.
標題:	Electrical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28541303
ISBN:	9798516071898

Advanced Antenna Techniques for Cognitive Radio and Millimeter Wave Applications.
Kantemur, Adnan.

Advanced Antenna Techniques for Cognitive Radio and Millimeter Wave Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 197 p.

Source: Dissertations Abstracts International, Volume: 83-01, Section: B.

Thesis (Ph.D.)--The University of Arizona, 2021.

This item must not be sold to any third party vendors.

This dissertation investigates novel antenna structures that are suitable for cognitive radiotechnology, a potential solution for spectrum crowdedness and inefficient spectrum usage. Additionally, as a promising solution for the fabrication challenges of conventional waveguide components at millimeter-wave (mmWave) frequencies, additive manufacturing (AM)technology-based antenna designs combined with metallization are investigated.First, a novel reconfigurable antenna covering an 11.5:1 bandwidth is designed and fabricated for cognitive radio applications. The proposed novel antenna has two independent paths to cover the 430 MHz to 5 GHz frequency range. The first path is directly connected to an ultrawide-band antenna, which covers 1-5 GHz operation frequency range. The second path, for the frequency range between 430 MHz and 1 GHz, goes through a dc voltage-controlled varactor based matching network. The switching functionality between wideband (1 to 5 GHz) and reconfigurable region (430 MHz to 1 GHz) is realized by two discrete switches. The designed antenna has a simple structure and compact size of 60 mm x100 mm. The proposed novel antenna has great potential for use in cognitive radio systems.Second, a reconfigurable UWB 2x2 multiple-input multiple-output (MIMO) antenna covering a 12.73:1 bandwidth is designed and fabricated for cognitive radio applications. The proposed antenna has two independent paths to cover a frequency range of 414 MHz to 5.27 GHz. The first path is directly connected to an ultra-wide-band antenna, which covers 1-5.27 GHz operation frequency range. The second path, for the frequency range between 414 MHz and 1GHz, goes through a dc voltage-controlled varactor based matching network. The switching functionality between wideband (1 to 5.27 GHz) and reconfigurable region (414 MHz to 1 GHz)is realized by two discrete switches. The designed antenna has a simple structure and a compact size of 100 mm x 200 mm. Moreover, this chapter presents the implementation and analysis of reconfigurable ultra-wideband (UWB) multiple-input multiple-output (MIMO) antenna system for indoor and outdoor communication scenarios. For indoor communication, based on the TGn-B propagation model, the MIMO system can achieve a maximum channel capacity of 26.97 bps/Hz. For outdoor communication, based on the Spatial Channel Model (SCM) - Suburban - Macro nonline of sight (NLOS), the MIMO system achieves a maximum channel capacity of 6.25 bps/Hz. It is demonstrated that the orthogonal orientation of the reconfigurable UWB antenna in MIMO exhibits improved polarization diversity.Lastly, a 3D printed W-band slotted waveguide array antenna (SWAA) is proposed. The proposed SWAA consists of three different sections (two horizontal ones and a vertical one)working as a radiating waveguide array with 10 x10 slots array with an aperture size of 31 mmx 31.4 mm, a coupling waveguide to feed the radiating waveguide array, and a vertical waveguide to feed the coupling waveguide. Machine learning technique based on an artificial neural network algorithm is used to optimize the design. The optimized SWAA is fabricated using Stereolithography (SLA) 3D printer and then is metalized with silver on the inner and outer surfaces by a jet metal spraying method. To metalize the inner and outer surfaces of the monolithic structure, non-radiating slots are added on the surface of the designed SWAA. The surface roughness is taken into account by employing the Huray-model methodology in simulation. The SWAA has a 22.5 dBi far-field gain, a -13.5 dB sidelobe level, and 10 degrees HPBW at 78.7 GHz in measurement.

ISBN: 9798516071898Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Antenna Techniques

Advanced Antenna Techniques for Cognitive Radio and Millimeter Wave Applications.
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300 $a 197 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
500 $a Advisor: Xin, Hao.
502 $a Thesis (Ph.D.)--The University of Arizona, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a This dissertation investigates novel antenna structures that are suitable for cognitive radiotechnology, a potential solution for spectrum crowdedness and inefficient spectrum usage. Additionally, as a promising solution for the fabrication challenges of conventional waveguide components at millimeter-wave (mmWave) frequencies, additive manufacturing (AM)technology-based antenna designs combined with metallization are investigated.First, a novel reconfigurable antenna covering an 11.5:1 bandwidth is designed and fabricated for cognitive radio applications. The proposed novel antenna has two independent paths to cover the 430 MHz to 5 GHz frequency range. The first path is directly connected to an ultrawide-band antenna, which covers 1-5 GHz operation frequency range. The second path, for the frequency range between 430 MHz and 1 GHz, goes through a dc voltage-controlled varactor based matching network. The switching functionality between wideband (1 to 5 GHz) and reconfigurable region (430 MHz to 1 GHz) is realized by two discrete switches. The designed antenna has a simple structure and compact size of 60 mm x100 mm. The proposed novel antenna has great potential for use in cognitive radio systems.Second, a reconfigurable UWB 2x2 multiple-input multiple-output (MIMO) antenna covering a 12.73:1 bandwidth is designed and fabricated for cognitive radio applications. The proposed antenna has two independent paths to cover a frequency range of 414 MHz to 5.27 GHz. The first path is directly connected to an ultra-wide-band antenna, which covers 1-5.27 GHz operation frequency range. The second path, for the frequency range between 414 MHz and 1GHz, goes through a dc voltage-controlled varactor based matching network. The switching functionality between wideband (1 to 5.27 GHz) and reconfigurable region (414 MHz to 1 GHz)is realized by two discrete switches. The designed antenna has a simple structure and a compact size of 100 mm x 200 mm. Moreover, this chapter presents the implementation and analysis of reconfigurable ultra-wideband (UWB) multiple-input multiple-output (MIMO) antenna system for indoor and outdoor communication scenarios. For indoor communication, based on the TGn-B propagation model, the MIMO system can achieve a maximum channel capacity of 26.97 bps/Hz. For outdoor communication, based on the Spatial Channel Model (SCM) - Suburban - Macro nonline of sight (NLOS), the MIMO system achieves a maximum channel capacity of 6.25 bps/Hz. It is demonstrated that the orthogonal orientation of the reconfigurable UWB antenna in MIMO exhibits improved polarization diversity.Lastly, a 3D printed W-band slotted waveguide array antenna (SWAA) is proposed. The proposed SWAA consists of three different sections (two horizontal ones and a vertical one)working as a radiating waveguide array with 10 x10 slots array with an aperture size of 31 mmx 31.4 mm, a coupling waveguide to feed the radiating waveguide array, and a vertical waveguide to feed the coupling waveguide. Machine learning technique based on an artificial neural network algorithm is used to optimize the design. The optimized SWAA is fabricated using Stereolithography (SLA) 3D printer and then is metalized with silver on the inner and outer surfaces by a jet metal spraying method. To metalize the inner and outer surfaces of the monolithic structure, non-radiating slots are added on the surface of the designed SWAA. The surface roughness is taken into account by employing the Huray-model methodology in simulation. The SWAA has a 22.5 dBi far-field gain, a -13.5 dB sidelobe level, and 10 degrees HPBW at 78.7 GHz in measurement.
590 $a School code: 0009.
650 4 $a Electrical engineering. $3 649834
650 4 $a Electromagnetics. $3 3173223
653 $a Antenna Techniques
653 $a Cognitive Radio and Millimeter Wave Applications
690 $a 0544
690 $a 0607
710 2 $a The University of Arizona. $b Electrical & Computer Engineering. $3 1018545
773 0 $t Dissertations Abstracts International $g 83-01B.
790 $a 0009
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28541303