Date of Award
2025
Degree Type
Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
Department
Electrical, Computer, and Biomedical Engineering
First Advisor
Richard J. Vaccaro
Abstract
The accurate estimation of towed sonar array shapes during complex maneuvers is a critical challenge affecting beamforming and target localization performance. When underwater arrays experience sharp turns or rapid movements, sensor positions become difficult to track precisely, negatively impacting the reliability of beamforming methods. This thesis addresses the issue of dynamic array shape uncertainty, motivated by operational challenges faced by the Navy.
A maximum-likelihood estimation (MLE) method is developed to simultaneously estimate the array shape and field directionality (spatial spectrum) during maneuvers. The proposed solution expands upon previous research, specifically the dynamic spatial spectrum estimation techniques described by Rogers and Krolik (2010) and the combined heading and acoustic data fusion approach presented by Odom and Krolik (2015). MATLAB simulations have been used to implement and initially validate these algorithms, testing various maneuver scenarios and noise conditions.
Early simulation results suggest that the proposed method can substantially improve localization accuracy and beamforming performance compared to traditional methods that assume a fixed, straight array. Particularly during sharp turns, the algorithm demonstrates enhanced resolution of closely spaced sources. The research aims to provide the Navy with improved methods and comprehensive documentation to facilitate the integration of these techniques into operational sonar systems.
Recommended Citation
Costick, Nicholas Ryan, "DYNAMIC BEAMFORMING AND ARRAY SHAPE ESTIMATION" (2025). Open Access Master's Theses. Paper 2675.
https://digitalcommons.uri.edu/theses/2675
Comments
This dissertation contains Controlled Unclassified Information (CUI) and is not available.