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JSmith Unit Circle Roots Based Sensor Array Signal Processing.pdf (10.71 MB)
ETD Abstract Container
Abstract Header
Unit Circle Roots Based Sensor Array Signal Processing
Author Info
Smith, Jared P.
ORCID® Identifier
http://orcid.org/0000-0003-3093-3816
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1653604410559568
Abstract Details
Year and Degree
2022, Doctor of Philosophy (PhD), Wright State University, Electrical Engineering.
Abstract
As technology continues to rapidly evolve, the presence of sensor arrays and the algorithms processing the data they generate take an ever-increasing role in modern human life. From remote sensing to wireless communications, the importance of sensor signal processing cannot be understated. Capon's pioneering work on minimum variance distortionless response (MVDR) beamforming forms the basis of many modern sensor array signal processing (SASP) algorithms. In 2004, Steinhardt and Guerci proved that the roots of the polynomial corresponding to the optimal MVDR beamformer must lie on the unit circle, but this result was limited to only the MVDR. This dissertation contains a new proof of the unit circle roots property which generalizes to other SASP algorithms. Motivated by this result, a unit circle roots constrained (UCRC) framework for SASP is established and includes MVDR as well as single-input single-output (SISO) and distributed multiple-input multiple-output (MIMO) radar moving target detection. Through extensive simulation examples, it will be shown that the UCRC-based SASP algorithms achieve higher output gains and detection probabilities than their non-UCRC counterparts. Additional robustness to signal contamination and limited secondary data will be shown for the UCRC-based beamforming and target detection applications, respectively.
Committee
Arnab K. Shaw, Ph.D. (Advisor)
Aboulnasr Hassanien, Ph.D. (Committee Member)
Fred D. Garber, Ph.D. (Committee Member)
Josh N. Ash, Ph.D. (Committee Member)
Michael A. Saville, Ph.D., P.E. (Committee Member)
Pages
217 p.
Subject Headings
Electrical Engineering
Keywords
Adaptive Filtering
;
Beamforming
;
Unit Circle Roots
;
Radar
;
Signal Processing
;
Array Processing
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Citations
Smith, J. P. (2022).
Unit Circle Roots Based Sensor Array Signal Processing
[Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1653604410559568
APA Style (7th edition)
Smith, Jared.
Unit Circle Roots Based Sensor Array Signal Processing.
2022. Wright State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1653604410559568.
MLA Style (8th edition)
Smith, Jared. "Unit Circle Roots Based Sensor Array Signal Processing." Doctoral dissertation, Wright State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=wright1653604410559568
Chicago Manual of Style (17th edition)
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Document number:
wright1653604410559568
Download Count:
186
Copyright Info
© 2022, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.