距离依赖的声速场反演与运动声源的跟踪定位

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摘要借助运动声源位置的时变性，利用具有时空变化特性的声速剖面在一定条件下可近似建模为经验正交函数系数随时间/距离演化的特点，提出一种运动声源参数与声速场参数联合估计的方法，解决距离依赖浅海海域快变声速场反演问题。该方法采用扩展卡尔曼滤波和集合卡尔曼滤波算法在重构真实声速场的同时对运动声源进行跟踪定位。仿真结果和实测数据验证了算法的有效性，并对两种非线性算法进行了对比。研究表明：集合卡尔曼滤波表现出较优越的估计性能，即使在接收阵元数目减少的局限条件下，仍然能够很好的估计出移动声源的位置和声速参数在时间/距离维度上的演化轨迹。该方法对研究动态海洋参数反演和观测系统的布设具有一定的参考意义。

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关键词 ：声速剖面, 经验正交函数, 运动声源, 非线性滤波

Abstract：

With the help of the time-varying feature of moving sound course’s position, according to the fact that sound speed profiles with spatio-temporal variation features can be modeled approximatively as empirical orthogonal functions whose coefficients evolve with time/distance under certain conditions, a method for jointly estimating moving sound source’s parameters and sound speed field’s parameters was proposed to solve the inversion problem of distance-dependent fast-changing sound speed fields in shallow sea environment. With this method, the extended Kalman filtering and the ensemble Kalman filtering algorithms were used to reconstruct a real sound speed field, track and position a moving sound source simultaneously. The effectiveness of the two algorithms was verified with comparing simulation results and test data. The two nonlinear algorithms were also compared. The results showed that the ensemble Kalman filtering algorithm has a better estimation ability; even under a limited condition that the number of receiving array elements is reduced, it can estimate the moving sound source position and sound speed parameters’ evolution trajectories in time/distance domain. This proposed method provided a reference for studying inversion of dynamic ocean parameters and laying observing systems under sea water.

Key words： sound speed profile empirical orthogonal function moving sound source nonlinear filtering

收稿日期: 2017-01-20 出版日期: 2018-01-15

引用本文:

戴淼,李亚安 . 距离依赖的声速场反演与运动声源的跟踪定位[J]. 振动与冲击, 2018, 37(2): 17-23.
DAI Miao LI Ya-an . Inversion of distance-dependent sound speed fields and tracking & positioning moving sound sources. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(2): 17-23.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I2/17

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