Accession Number : ADA328013

Title :   Variations on Autocorrelation Matching and the SIFT Localization Algorithm.

Descriptive Note : Master thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : DE Kooter, Peter M.

PDF Url : ADA328013

Report Date : MAR 1997

Pagination or Media Count : 109

Abstract : As part of the existing acoustic transient localization program, a feasibility study was performed to apply existing algorithms to signals at higher carrier frequencies. The coherent matching, autocorrelation matching and SIFT algorithms are time domain Matched Field Processing algorithms based on arrival structures for single hydrophone applications. In previous studies, these algorithms were employed only at lower frequencies using ray propagation models to create the replicas with varying success. This study is meant to investigate the performance of the algorithms at higher frequencies, using both the University of Miami Parabolic Equation (UMPE) Model and the Hamiltonian Raytracing Program for the Ocean (HARPO), to give insight into the previously unexplained inconsistent behavior of the algorithms at low frequencies, to improve and optimize existing algorithms, to point out improvements to existing eigenray extraction programs, and to suggest additional signal processing on the signal. Simulations are performed and synthetic signals are generated using both the HARPO and UMPE models. The arrival structures are investigated and the relation between features in the arrival structures for matching and the physical parameters are identified. Some insight into the performance of the SIFT algorithm is gained which relates matching and physical parameters. Simulations lead to improvements and optimization of the algorithms and give insight into the performance at higher frequencies.

Descriptors :   *SIGNAL PROCESSING, *ACOUSTIC FIELDS, ALGORITHMS, COMPUTERIZED SIMULATION, HIGH FREQUENCY, OPTIMIZATION, AUTOCORRELATION, THESES, FEASIBILITY STUDIES, ACOUSTIC SIGNALS, HYDROPHONES, RAY TRACING, ACOUSTIC VELOCITY, TIME DOMAIN, ACOUSTIC DATA, HAMILTONIAN FUNCTIONS, SOUND RANGING.

Subject Categories : Acoustics

Distribution Statement : APPROVED FOR PUBLIC RELEASE