Optimal digital detection of acoustic signals in colored noise
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Authors
Cloutier, Martin Andre
Subjects
Detection, Ambient noise, Matrix decomposition, Colored noise.
Advisors
Hippenstiel, Ralph
Cristi, Roberto
Date of Issue
1995-12
Date
December 1995
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
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.
Type
Thesis
Description
Series/Report No
Organization
Identifiers
NPS Report Number
Sponsors
Funding
NA
Format
146 p.
Citation
Distribution Statement
Rights
Copyright is reserved by the copyright owner.