東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Array Processing for Atmospheric Sen...

Wagner, Mark Andrew.

Linked to FindBook

Google Book

Amazon

博客來

Array Processing for Atmospheric Sensing.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Array Processing for Atmospheric Sensing./
Author:	Wagner, Mark Andrew.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	184 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Contained By:	Dissertations Abstracts International82-02B.
Subject:	Electrical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27963247
ISBN:	9798662474451

Array Processing for Atmospheric Sensing.
Wagner, Mark Andrew.

Array Processing for Atmospheric Sensing. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 184 p.

Source: Dissertations Abstracts International, Volume: 82-02, Section: B.

Thesis (Ph.D.)--University of California, San Diego, 2020.

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

Refractivity is an important atmospheric parameter which determines the propagation speed of electromagnetic (EM) waves traveling through the lower troposphere. The vertical refractivity profile of the atmosphere dictates how much the wave front of a radio wave will bend away from the straight-line path from its transmitter. The standard atmospheric refractivity profile over a terrestrial path is well known, experiences little fluctuation, and causes radio waves to curve towards the Earth. This effectively increases the `radio horizon' for non-optical frequencies. Over a marine channel however, the refractivity profile of the atmosphere is highly variable and can form spurious natural waveguides known as `ducts,' which allow for abnormally long range propagation and other anomalous effects. As a result, it is desirable to be able to track the refractivity profile of the atmosphere over marine channels to better predict and exploit the propagation paths of EM waves. Currently, the state of the art in atmospheric refractivity research involves inference of the atmospheric refractivity profile from observations of the propagation loss of narrowband signals transmitted from a known location. Though this method has found some success, it is limited by the fact that there are often many refractivity profiles resulting in the same observed propagation loss. Thus, it is often impossible to know for certain the atmospheric refractivity profile using propagation loss alone.In this dissertation, it is suggested that additional information about atmospheric refractivity can be found by measuring the direction of arrival (DOA) of a wave front in addition to its propagation loss. The topic of DOA estimation is discussed in depth, from classical techniques to the development of new super-resolution algorithms. The construction of a passive receiver array and first long term measurements of the DOA of an over the horizon signal propagating through a marine channel are detailed. These measurements show that the time series of DOA information is not well correlated with the time series of propagation loss information, implying that wave front DOA could be used to infer additional information about the atmospheric refractivity profile.

ISBN: 9798662474451Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Array processing

Array Processing for Atmospheric Sensing.
LDR:03460nmm a2200385 4500 001 2282783
005 20211022115943.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798662474451
035 $a (MiAaPQ)AAI27963247
035 $a AAI27963247
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wagner, Mark Andrew. $3 3561602
245 1 0 $a Array Processing for Atmospheric Sensing.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 184 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
500 $a Advisor: Gerstoft, Peter.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Refractivity is an important atmospheric parameter which determines the propagation speed of electromagnetic (EM) waves traveling through the lower troposphere. The vertical refractivity profile of the atmosphere dictates how much the wave front of a radio wave will bend away from the straight-line path from its transmitter. The standard atmospheric refractivity profile over a terrestrial path is well known, experiences little fluctuation, and causes radio waves to curve towards the Earth. This effectively increases the `radio horizon' for non-optical frequencies. Over a marine channel however, the refractivity profile of the atmosphere is highly variable and can form spurious natural waveguides known as `ducts,' which allow for abnormally long range propagation and other anomalous effects. As a result, it is desirable to be able to track the refractivity profile of the atmosphere over marine channels to better predict and exploit the propagation paths of EM waves. Currently, the state of the art in atmospheric refractivity research involves inference of the atmospheric refractivity profile from observations of the propagation loss of narrowband signals transmitted from a known location. Though this method has found some success, it is limited by the fact that there are often many refractivity profiles resulting in the same observed propagation loss. Thus, it is often impossible to know for certain the atmospheric refractivity profile using propagation loss alone.In this dissertation, it is suggested that additional information about atmospheric refractivity can be found by measuring the direction of arrival (DOA) of a wave front in addition to its propagation loss. The topic of DOA estimation is discussed in depth, from classical techniques to the development of new super-resolution algorithms. The construction of a passive receiver array and first long term measurements of the DOA of an over the horizon signal propagating through a marine channel are detailed. These measurements show that the time series of DOA information is not well correlated with the time series of propagation loss information, implying that wave front DOA could be used to infer additional information about the atmospheric refractivity profile.
590 $a School code: 0033.
650 4 $a Electrical engineering. $3 649834
650 4 $a Electromagnetics. $3 3173223
650 4 $a Remote sensing. $3 535394
653 $a Array processing
653 $a Atmospheric refractivity
653 $a Communication systems
653 $a Direction of arrival estimation
653 $a Electromagnetics
653 $a Signal processing
690 $a 0544
690 $a 0607
690 $a 0799
710 2 $a University of California, San Diego. $b Electrical and Computer Engineering. $3 3432690
773 0 $t Dissertations Abstracts International $g 82-02B.
790 $a 0033
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27963247