DocumentCode :
730621
Title :
Ocean acoustic waveguide invariant parameter estimation using tonal noise sources
Author :
Harms, Andrew ; Odom, Jonathan L. ; Krolik, Jeffrey L.
Author_Institution :
Duke Univ., Durham, NC, USA
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
4001
Lastpage :
4004
Abstract :
The abundance of shipping noise sources in ocean littoral zones provides a great opportunity to estimate ocean environmental parameters. The waveguide invariant parameter β, defined as the ratio of inverse group and phase velocities between modes, has been used in a variety of applications including ranging of passive sources. Previous work utilizing the waveguide invariant in passive sonar has relied on processing the time-frequency intensity striations of broadband sources. In this paper, the reception of strong tonal components from transiting commercial ships of known location (e.g., from AIS data) are used for estimating β over the source-receiver path. A maximum likelihood estimate of β is derived by relating the fading characteristics of different tonal components over range. The method is verified on simulated data using a Pekeris waveguide model.
Keywords :
acoustic signal processing; acoustic waveguides; fading; maximum likelihood estimation; Pekeris waveguide model; broadband sources; fading characteristics; inverse group; maximum likelihood estimate; ocean environmental parameters; ocean littoral zones; passive sonar; passive sources; phase velocities; shipping noise sources; source-receiver path; strong tonal components; time-frequency intensity striations; transiting commercial ships; waveguide invariant parameter; Acoustics; Maximum likelihood estimation; Noise; Noise measurement; Oceans; Receivers; System-on-chip; Maximum Likelihood; Waveguide Invariant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178722
Filename :
7178722
Link To Document :
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