摘要
为了降低传播时间测量误差对微扰法声速剖面反演精度的影响,本文提出了一种基于微扰法的声速剖面反演改进算法。该算法通过调整平均声速剖面以增大声速扰动量,进而增大声速扰动所引起声线传播时间的扰动量,降低了测时误差对反演算法的影响,提高了反演算法对声速扰动的敏感性。数值算例表明,相同条件下传统微扰法反演的声速剖面的最大误差为1.478 m/s,而改进算法的最大误差降低至0.403 m/s,验证了改进算法可以有效降低传播时间测量误差对声速剖面反演结果的影响,比微扰法的反演精度更高。
To minimize the impact of travel-time measurement errors on acoustic inversion,an improved algorithm for sound speed profile inversion was presented in this paper. By adjusting the mean sound speed profile,the algo-rithm can increase the disturbance of sound speed,which can further increase the disturbance of ray travel-time caused by the disturbance of sound speed,thereby lowering the effect of the time measurement error on the inver-sion algorithm and increasing the sensitivity of the new algorithm to the perturbation of sound velocity. Numerical calculation cases show that the maximum error of sound speed profile inversion by the traditional perturbation meth-od under the same conditions is 1. 478 m /s,while the maximum error of the improved algorithm can be lowered to 0. 403 m /s. The result shows that the improved algorithm can effectively lower the effect of the measurement error of travel time on the inversion result of the sound velocity profile and the inversion precision is higher than the pertur-bation method.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2017年第3期371-377,共7页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(11274078)
关键词
声速剖面
微扰法
反演
经验正交函数(EOF)
声线传播时间
测时误差
sound speed profile
perturbation method
inversion
empirical orthogonal function（EOF）
traveltime of sound ray
time measurement error
