TY - GEN
T1 - Motion parameters estimation of an underwater multitonal source by using field oscillation at different frequencies in deep water
AU - Xu, Zhezhen
AU - Li, Hui
AU - Yang, Kunde
AU - Li, Peilin
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents a motion parameter estimation algorithm for an underwater multitonal source in deep water. The acoustic field oscillation at different frequency points, caused by the interference between the direct and surface-reflected paths, are utilized to estimate the source initial range, velocity, and depth. The proposed algorithm first estimates the source initial range and velocity by matching the field time series at a reference frequency with the resampled ones at other frequencies. Then, based on the estimated initial range and velocity, the pressure fields in the time domain can be mapped into the sine domain of the receiving angle so that the source depth can be directly obtained by using a modified Fourier transform method on the basis of image theory. The effectiveness of the proposed algorithm is demonstrated via numerical simulations by using the Bellhop acoustic toolbox.
AB - This paper presents a motion parameter estimation algorithm for an underwater multitonal source in deep water. The acoustic field oscillation at different frequency points, caused by the interference between the direct and surface-reflected paths, are utilized to estimate the source initial range, velocity, and depth. The proposed algorithm first estimates the source initial range and velocity by matching the field time series at a reference frequency with the resampled ones at other frequencies. Then, based on the estimated initial range and velocity, the pressure fields in the time domain can be mapped into the sine domain of the receiving angle so that the source depth can be directly obtained by using a modified Fourier transform method on the basis of image theory. The effectiveness of the proposed algorithm is demonstrated via numerical simulations by using the Bellhop acoustic toolbox.
KW - deep water
KW - image theory
KW - motion parameters estimation
KW - multipath interference
UR - http://www.scopus.com/inward/record.url?scp=85146430854&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC55723.2022.9984435
DO - 10.1109/ICSPCC55723.2022.9984435
M3 - 会议稿件
AN - SCOPUS:85146430854
T3 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
BT - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Y2 - 25 October 2022 through 27 October 2022
ER -