Fast Inversion of Sound Speed Profile Based on Perturbation Method

Abstract

Abstract:

The conventional sound speed profile (SSP) inversion algorithms based on sound transmission time influence the inversion speed because they have to trace the eigen-ray of every SSP. The actual transmission time was expressed as the sum of that for referenced SSP and perturbation terms, and SSP inversion was changed from non-linear optimization to the solution of linear equations by the perturbation method. The experimental inversion results indicate that although the root mean square (RMS) error is doubled in comparison with that obtained by conventional algorithms, the calculating time can be reduced from 10 hours to 3 seconds by the perturbation method and therefore satisfies realtime monitoring of SSP.

Key words: perturbation method, sound speed profile (SSP) inversion, transmission time, eigen-ray

CLC Number:

TB 566

ZHANG Wei,YANG Shie,HUANG Yiwang,SONG Yang. Fast Inversion of Sound Speed Profile Based on Perturbation Method[J]. Journal of Shanghai Jiaotong University, 2013, 47(08): 1286-1291.

References

［1］Li Fenghua, Zhang Renhe. Inversion for sound speed profile by using a bottom mounted horizontal line array in shallow water ［J］. Chin Phys Lett, 2010, 27(8): 843031843034.

［2］Carriere O, Hermand J P, Candy J V. Inversion for timeevolving sound speed field in a shallow ocean by ensemble Kalman filtering ［J］. IEEE J Ocean Eng, 2009, 34(4):586602.

［3］Philippe R, Ion I, Barbara N, et al. Traveltime tomography in shallow water: Experimental demonstration at an ultrasonic scale ［J］. J Acoustic Soc Am, 2011, 130 (3):12321241.

［4］Yang T C, Yates T. Matched beam processing: Applications to a horizontal line array in shallow water ［J］. J Acoustic Soc Am, 1998, 104 (2):12161300.

［5］YU Yanxin, LI Zhenglin, HE Li. Matchedfield inversion of sound speed profile in shallow water using a parallel genetic algorithm ［J］. Chinese Journal of Oceanology and Limnology, 2010, 28(5): 10801085.

［6］Munk W H，Wunsch C. Ocean acoustic tomography A: Scheme for large scale monitoring ［J］. DeepSea Res, 1979, 26: 123161.

［7］唐俊峰，杨士莪. 由传播时间反演海水中的声速剖面［J］.哈尔滨工程大学学报, 2006, 27(5): 733737.

TANG Junfeng, YANG Shie. Sound speed profile in ocean inverted by using travel time ［J］. Journal of Harbin Engineering University, 2006, 27(5):733737.

［8］Snieder R，Sambridge M. Ray perturbation theory for travel times and ray paths in 3D heterogeneous media ［J］. Geophys J Int, 1992, 109: 294322.

［9］郭萌,郭文生.深海剖面测量系统设计［J］. 计算机与数字工程,2012, 40(8):6061.

GUO Meng GUO Wensheng. Design of a deepsea profile measurement system ［J］. Computer & Digital Engineering, 2012, 40(8):6061.

［10］黄益旺. 浅海远距离匹配场声源定位研究［D］.哈尔滨：哈尔滨工程大学水声工程学院，2005.

［11］初磊,楼晓平,李世令,等.鱼雷声自导作用距离影响因素仿真分析［J］. 弹箭与制导学报, 2010, 30(1):6871.

CHU Lei, LOU Xiaoping, LI Shiling, et al. Analysis of influence parameter to acoustically guided torpedo operating distance ［J］. Journal of Projectiles, Rockets, Missiles and Guidance, 2010, 30(1):6871.

［12］何利,李整林,彭朝晖,等.南海北部海水声速剖面声学反演［J］. 中国科学:物理学力学天文学, 2011, 41(1):4957.

HE Li, LI Zhenglin, PENG Zhaohui，et al. Inversion for sound speed profiles in the northern of South China Sea ［J］. Scientia Sinica Phys, Mech & Astron, 2011, 41(1):4957.

［13］杨传将，刘清，黄珍. 一种量子粒子群算法的改进方法［J］.计算技术与自动化，2009，28(1): 100103.

YANG Chuanjiang, LIU Qing, HUANG Zhen. One method of improving guantumbehaved particle swarm optimization ［J］. Computing Technology and Automation, 2009, 28(1): 100103.