TY - GEN
T1 - Estimation of the under-ice acoustic field in AUV communication networks
AU - Sun, Wensheng
AU - Wang, Chaofeng
AU - Wang, Zhaohui
AU - Song, Min
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/6
Y1 - 2017/11/6
N2 - Autonomous underwater vehicles (AUVs) are the platform of choice for ocean exploration and surveillance in the ice-covered regions. Due to the large attenuation of radio signals in water, acoustic communications have been the major technique for underwater wireless information transfer. In the under-ice environment, the acoustic propagation is largely determined by a stratified sound speed profile (SSP) and the ice-reflection characteristics. Based on the ray theory, this work develops an inversion algorithm to estimate the SSP and the ice reflection coefficient via an iterative method. The acoustic measurements collected during data transmission within the AUV network, including the propagation delay and the amplitude of the received signal along each eigen path, are used for the inversion. With the estimated SSP and the ice-reflection coefficient, the under-ice acoustic field can then be constructed to guide future acoustic communications among the AUVs. The proposed algorithm is evaluated via Bellhop synthesized data and achieves decent accuracy in the SSP and the ice-reflection coefficient estimation.
AB - Autonomous underwater vehicles (AUVs) are the platform of choice for ocean exploration and surveillance in the ice-covered regions. Due to the large attenuation of radio signals in water, acoustic communications have been the major technique for underwater wireless information transfer. In the under-ice environment, the acoustic propagation is largely determined by a stratified sound speed profile (SSP) and the ice-reflection characteristics. Based on the ray theory, this work develops an inversion algorithm to estimate the SSP and the ice reflection coefficient via an iterative method. The acoustic measurements collected during data transmission within the AUV network, including the propagation delay and the amplitude of the received signal along each eigen path, are used for the inversion. With the estimated SSP and the ice-reflection coefficient, the under-ice acoustic field can then be constructed to guide future acoustic communications among the AUVs. The proposed algorithm is evaluated via Bellhop synthesized data and achieves decent accuracy in the SSP and the ice-reflection coefficient estimation.
KW - Autonomous underwater vehicle
KW - Ray theory
KW - Reflection coefficient
KW - Sound speed profile
KW - Under-ice
UR - http://www.scopus.com/inward/record.url?scp=85040258812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040258812&partnerID=8YFLogxK
U2 - 10.1145/3148675.3148711
DO - 10.1145/3148675.3148711
M3 - Conference contribution
AN - SCOPUS:85040258812
T3 - Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2017
BT - Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2017
T2 - International Conference on Underwater Networks and Systems, WUWNET 2017
Y2 - 6 November 2017 through 8 November 2017
ER -