TY - GEN
T1 - Modeling the vertical directionality of wind-generated noise in deep ocean using Pekeris-branch-cut-based normal modes
AU - Jiang, Guangyu
AU - Sun, Chao
AU - Liu, Xionghou
AU - Xie, Lei
AU - Shao, Xuan
AU - Kong, Dezhi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/25
Y1 - 2017/10/25
N2 - Vertical directionality is an important property of wind-generated noise. In this paper, we extend the vertical directionality model of wind-generated noise in [12] from shallow water to deep ocean. In order to treat the overhead and distant noise simultaneously, we propose to use Pekeris-branch-cut-based normal modes to represent the Green's functions from noise sources to receivers. Comparing with the situation in shallow water, we find that the diagonal dominance of the noise modal covariance is weaker in deep ocean. In our model, both diagonal elements and a plenty of off-diagonal elements near the main diagonal line are involved into the modeling progress to ensure the accuracy. The errors could be introduced by neglecting the off-diagonal elements are simulated and analyzed. Using wave propagation theory, we give a reasonable explanation of why the diagonal dominance of the noise modal covariance matrix is weaker in deep ocean.
AB - Vertical directionality is an important property of wind-generated noise. In this paper, we extend the vertical directionality model of wind-generated noise in [12] from shallow water to deep ocean. In order to treat the overhead and distant noise simultaneously, we propose to use Pekeris-branch-cut-based normal modes to represent the Green's functions from noise sources to receivers. Comparing with the situation in shallow water, we find that the diagonal dominance of the noise modal covariance is weaker in deep ocean. In our model, both diagonal elements and a plenty of off-diagonal elements near the main diagonal line are involved into the modeling progress to ensure the accuracy. The errors could be introduced by neglecting the off-diagonal elements are simulated and analyzed. Using wave propagation theory, we give a reasonable explanation of why the diagonal dominance of the noise modal covariance matrix is weaker in deep ocean.
KW - deep ocean
KW - noise modal covariance matrix
KW - Pekeris branch cut
KW - vertical directionality
KW - wind-generated noise
UR - http://www.scopus.com/inward/record.url?scp=85044599384&partnerID=8YFLogxK
U2 - 10.1109/OCEANSE.2017.8084834
DO - 10.1109/OCEANSE.2017.8084834
M3 - 会议稿件
AN - SCOPUS:85044599384
T3 - OCEANS 2017 - Aberdeen
SP - 1
EP - 6
BT - OCEANS 2017 - Aberdeen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - OCEANS 2017 - Aberdeen
Y2 - 19 June 2017 through 22 June 2017
ER -