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讨论了适用于浅海的基于声速局部测量模型、声传播模型及声压场局部测量模型的声学数据同化方法,并给出了具体的执行算法。该算法根据最优化准则把局部声速和声压场的先验测量信息,以及声传播模型进行了有效地融合,提高了海洋环境参数估计的精度,为浅海声层析提供了新思路。同时,利用实验浅海声速测量数据,通过经验正交函数对实际海洋声速剖面进行了估计,并分析了各类噪声对水体声速场及海底声学参数估计精度的影响,验证了该执行算法的有效性。
The acoustic data assimilation method based on the sound velocity local measurement model, the acoustic propagation model and the local measurement model of the sound pressure field are discussed, and the specific implementation algorithms are given. According to the optimization criterion, the local acoustic velocity and acoustic pressure field a priori measurement information and acoustic propagation model are effectively integrated, which improves the accuracy of marine environmental parameter estimation and provides a new idea for shallow-sea acoustic tomography. At the same time, the actual sea sound velocity profile is estimated by the empirical orthogonal function using the experimental shallow sea sound velocity measurement data, and the influence of various types of noise on the sound velocity field and the acoustic estimation accuracy of the seafloor is analyzed. The effectiveness of this algorithm is verified .