DocumentCode
1538488
Title
Detection of Surface Ships From Interception of Cyclostationary Signature With the Cyclic Modulation Coherence
Author
Antoni, Julia ; Hanson, D.
Author_Institution
Univ. of Technol. of Compiegne, Compiegne, France
Volume
37
Issue
3
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
478
Lastpage
493
Abstract
This paper addresses the problem of passive detection of surface ships from radiated propeller noise in the far field. This is traditionally accomplished by means of envelope analysis, a largely empirical technique. The first contribution of the paper is to give a formal justification why this approach is sound based on the cyclostationary modeling of propeller noise. Pursuing along similar lines, the paper proposes a new statistical test based on the recently introduced cyclic modulation coherence (CMC), which is close to optimal in detecting cyclostationary noise, while at the same time being easy and extremely fast to compute. Detection capability is thoroughly investigated as a function of the blade pass frequency and other parameter settings. Finally, the cyclostationarity framework makes possible the proposal of a closed-form statistical threshold that opens the way to automatic detection.
Keywords
acoustic signal detection; modulation; statistical analysis; automatic detection; blade pass frequency; closed-form statistical threshold; cyclic modulation coherence; cyclostationary noise detection; cyclostationary propeller noise modeling; cyclostationary signature interception; detection capability; envelope analysis; passive detection; radiated propeller noise; statistical test; surface ship detection; Blades; Broadband communication; Frequency modulation; Marine vehicles; Noise; Propellers; Detection of Envelope Modulation On Noise (DEMON) processing; Ship detection; cyclic spectral analysis; cyclostationary signal; propeller noise;
fLanguage
English
Journal_Title
Oceanic Engineering, IEEE Journal of
Publisher
ieee
ISSN
0364-9059
Type
jour
DOI
10.1109/JOE.2012.2195852
Filename
6216447
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