Sponsor
Portland State University. Department of Electrical and Computer Engineering
First Advisor
Martin Siderius
Term of Graduation
Fall 2024
Date of Publication
11-26-2024
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Language
English
Subjects
Signal processing, Sonar
DOI
10.15760/etd.3872
Physical Description
1 online resource (viii, 73 pages)
Abstract
A variety of approaches exist to track targets in the ocean using acoustic sensors, and the complex mix of source characteristics, environmental effects, and sensor array limitations can make the selection of an appropriate algorithm challenging. This thesis models in simulation a recently proposed signal processing method that is intended for use with a large rectangular sensor array to track the bearings of multiple sources. The method, referred to as the Multi-Valued Bartlett (MVB) processor, is an eigenvector beamformer that leverages the capabilities of large arrays to locate in bearing multiple sources simultaneously. The analysis of this thesis details the effects of modifying the original implementation's ideal conditions with more realistic modeled ocean noise and multipath effects for cases when environmental conditions are unknown. The simulation results of this thesis suggest that the MVB processor can become unreliable in multipath propagation environments, and incurs heavier SNR impacts when correlated noise is present. A real-world data set for an appropriately sized sensor array is currently unavailable, but the simulation results of this thesis provide insight on conditions that impact the processor's performance.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/42996
Recommended Citation
Frister, Daniel Robert, "Evaluating the Multi-Valued Bartlett Processor" (2024). Dissertations and Theses. Paper 6753.
https://doi.org/10.15760/etd.3872
