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Optimization of Combined Transmit an...

Lipski, Michael V.

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Optimization of Combined Transmit and Receive Collaborative Beamforming in Coherent Distributed Arrays.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization of Combined Transmit and Receive Collaborative Beamforming in Coherent Distributed Arrays./
作者:	Lipski, Michael V.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	219 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-05, Section: A.
Contained By:	Dissertations Abstracts International85-05A.
標題:	Transmitters. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30720589
ISBN:	9798380727556

Optimization of Combined Transmit and Receive Collaborative Beamforming in Coherent Distributed Arrays.
Lipski, Michael V.

Optimization of Combined Transmit and Receive Collaborative Beamforming in Coherent Distributed Arrays. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 219 p.

Source: Dissertations Abstracts International, Volume: 85-05, Section: A.

Thesis (Ph.D.)--The Pennsylvania State University, 2023.

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

Mobile ad hoc networks (MANETs), drone-based wireless networks, or wireless sensor networks (WSNs) consisting of nodes with single omnidirectional antennas and limited transmit power can support wireless connectivity over long distances through coherent operation. Although designed for short-range networked communication, the individual radio nodes in wireless network can be coordinated to form a sparse aperiodic array with a high power directional gain. This action is called collaborative beamforming using coherent distributed arrays. By targeting a distant receiver with the array beam synthesized by a synchronized transmission, the network can ensure greater signal quality at the receiver. This function can be exploited to obtain increased transmission range, faster data rates, and improved power efficiency.In the presented work, a model for a combined transmit and receive coherent distributed array system is considered. The system model describes a pair of distributed arrays, a transmit array and a receive array, that are defined as aperiodic volumetric arrays with cubic array volumes. Total gain for a combined transmit and receive coherent distributed array is labeled coherent communication gain (CCG), and a general expression for CCG is given. The general expression can accommodate various propagation models as well as directional elements. Various distributed array systems are simulated using different parameters and the corresponding CCG is calculated. Optimization methods are explored for the purpose of improving the CCG of a distributed array system by adjusting the positions of the array nodes and the beam angle of the transmit array. Simulations are conducted to test and compare the improvements in system gain and the typical node displacement resulting from the application of optimization techniques.The second main focus of this dissertation is on deterministic shaping of a distributed transmit array pattern. A prototypical distributed transmit array is classified as a sparse aperiodic array, which has a transmit pattern that is irregular and difficult to predict. Outside of the main beam, the transmit pattern of a generic aperiodic array can really only be described in terms of average behavior: average beam or peak width is determined by array volume, and mean intensity in any off-beam direction is determined by the number of nodes. However, the magnitude and location of any off-beam peak is unique to a particular combination of node locations and beam angle. In this dissertation, global optimization algorithms are used to attempt to build one or more additional beams or nulls in predetermined, off-beam directions by moving the positions of participating array nodes. Simulations are used to validate the approach and characterize performance in terms of additional beam or null intensity and average node displacement.Lastly, this work touches on some of the practical considerations of implementing coherent distributed arrays using software defined radios (SDRs). Clock and phase synchronization is measured using onboard oscillators as a baseline. Then, chip scale atomic clocks (CSACs) are introduced and explored as a way to achieve distributed time synchronization. Current development efforts towards a next-generation chip scale atomic clock are summarized.

ISBN: 9798380727556Subjects--Topical Terms:

3680766
Transmitters.
Subjects--Index Terms:

Coherent communication gain

Optimization of Combined Transmit and Receive Collaborative Beamforming in Coherent Distributed Arrays.
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300 $a 219 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-05, Section: A.
500 $a Advisor: Narayanan, Ram M.
502 $a Thesis (Ph.D.)--The Pennsylvania State University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Mobile ad hoc networks (MANETs), drone-based wireless networks, or wireless sensor networks (WSNs) consisting of nodes with single omnidirectional antennas and limited transmit power can support wireless connectivity over long distances through coherent operation. Although designed for short-range networked communication, the individual radio nodes in wireless network can be coordinated to form a sparse aperiodic array with a high power directional gain. This action is called collaborative beamforming using coherent distributed arrays. By targeting a distant receiver with the array beam synthesized by a synchronized transmission, the network can ensure greater signal quality at the receiver. This function can be exploited to obtain increased transmission range, faster data rates, and improved power efficiency.In the presented work, a model for a combined transmit and receive coherent distributed array system is considered. The system model describes a pair of distributed arrays, a transmit array and a receive array, that are defined as aperiodic volumetric arrays with cubic array volumes. Total gain for a combined transmit and receive coherent distributed array is labeled coherent communication gain (CCG), and a general expression for CCG is given. The general expression can accommodate various propagation models as well as directional elements. Various distributed array systems are simulated using different parameters and the corresponding CCG is calculated. Optimization methods are explored for the purpose of improving the CCG of a distributed array system by adjusting the positions of the array nodes and the beam angle of the transmit array. Simulations are conducted to test and compare the improvements in system gain and the typical node displacement resulting from the application of optimization techniques.The second main focus of this dissertation is on deterministic shaping of a distributed transmit array pattern. A prototypical distributed transmit array is classified as a sparse aperiodic array, which has a transmit pattern that is irregular and difficult to predict. Outside of the main beam, the transmit pattern of a generic aperiodic array can really only be described in terms of average behavior: average beam or peak width is determined by array volume, and mean intensity in any off-beam direction is determined by the number of nodes. However, the magnitude and location of any off-beam peak is unique to a particular combination of node locations and beam angle. In this dissertation, global optimization algorithms are used to attempt to build one or more additional beams or nulls in predetermined, off-beam directions by moving the positions of participating array nodes. Simulations are used to validate the approach and characterize performance in terms of additional beam or null intensity and average node displacement.Lastly, this work touches on some of the practical considerations of implementing coherent distributed arrays using software defined radios (SDRs). Clock and phase synchronization is measured using onboard oscillators as a baseline. Then, chip scale atomic clocks (CSACs) are introduced and explored as a way to achieve distributed time synchronization. Current development efforts towards a next-generation chip scale atomic clock are summarized.
590 $a School code: 0176.
650 4 $a Transmitters. $3 3680766
650 4 $a Communication. $3 524709
650 4 $a Technical communication. $3 3172863
653 $a Coherent communication gain
653 $a Wireless sensor networks
653 $a Networked communication
653 $a Cubic array
653 $a Software defined radios
690 $a 0459
690 $a 0643
710 2 $a The Pennsylvania State University. $3 699896
773 0 $t Dissertations Abstracts International $g 85-05A.
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791 $a Ph.D.
792 $a 2023
793 $a English
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