Accession Number : ADA305824
Title : Optimal Digital Detection of Acoustic Signals in Colored Noise.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Cloutier, Martin A.
PDF Url : ADA305824
Report Date : DEC 1995
Pagination or Media Count : 158
Abstract : This thesis addresses optimal methods for the detection of acoustic signals corrupted by colored noise. In achieving this we provide a study of the characteristics of ambient noise in the ocean and the digital techniques which can be used in the process of detecting known acoustic signals which are corrupted by that noise. Various techniques are studied, in particular the use of matrix decomposition techniques applied to the correlation matrix or to a data matrix, and the matched filter for colored noise. Other methods such as the inverse filter, the differential operator, and the adaptive prediction-error filter will also be looked at for their whitening properties. The theoretical foundations of those techniques are presented as well as the application of each method to the problem. Simulations are conducted for each technique in order to provide quantified performance measurements supporting the use of each method.
Descriptors : *ACOUSTIC DETECTION, *ACOUSTIC SIGNALS, *UNDERWATER ACOUSTICS, COMPUTER PROGRAMS, SURFACE WAVES, EIGENVECTORS, WHITE NOISE, THESES, TURBULENCE, POWER SPECTRA, BUBBLES, TRANSDUCERS, SPECTRAL ENERGY DISTRIBUTION, ACOUSTIC FILTERS, ACOUSTIC ABSORPTION, TARGET DETECTION, VISCOSITY, AMBIENT NOISE, SEA WATER, HYDRODYNAMICS, SOUND PRESSURE, MACHINERY NOISE.
Subject Categories : Acoustic Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE