摘要
针对浅海声速剖面反演问题,采用小生境遗传算法,结合声线搜索的最快本征声线匹配反演,实现浅海负跃层条件下的声速剖面估计。利用经验正交函数对声速剖面的多参数不确定性降维,依据声场计算模型获取的最快特征声线传播时延与观测声传播时长进行匹配,采用小生境遗传优化算法,获取最优经验正交函数估计,实现声速剖面反演。按上述方法反演处理浅海声传播实验数据,结果表明,该方法针能够有效反演浅海声速剖面,并且显著优于传统遗传算法反演结果。
Aiming at the inversion problem of shallow sea sound speed profile,the sound speed profle estimation under the thermocline condition is realized combing with intrinsic sound ray matching inversion of sound line based on the niche genetic algorithm.The empirical orthogonal function is used to reduce the multi-parameter uncertainty of sound speed profile.The propagation delay of the fastest characteristic sound ray obtained from acoustic calculation model and the delay measured during ocean experiment are matched based on the niche genentic algorithm to obtain the most accurate empirical orthogonal function estimation and achieve the sound speed profile inversion.The ocean experiment data show that the method can effextively invert the shallow sea sound velocity profile and the precision is better than traditional genetic algorithm invsersion results.
作者
崔宝龙
徐国军
笪良龙
过武宏
CUI Baolong;XU Guojun;DA Lianglong;GUO Wuhong(Navy Submarine Academy,Qingdao 266199,China;Joint Laboratory for Marine Civil-Military Integration of Qingdao National Laboratory for Marine Science and Technology,Qingdao 266237,China;College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China)
出处
《应用声学》
CSCD
北大核心
2021年第2期279-286,共8页
Journal of Applied Acoustics
基金
基础计划加强重点基础研究项目(2019-JCJQ-ZD-149)
国防科技创新特区项目(18-H863-05-ZT-001-012-06)。
关键词
声层析
声速剖面反演
小生境遗传算法
Acoustic tomography
Sound speed profile inversion
Niche genetic algorithm
