应用表面噪声矢量场空间相关特性反演海底参数  

Geoacoustic parameter inversion using the spatial correlation of an acoustic vector field of surface-generated noise

作　　者：于盛齐 黄益旺 宋扬 

机构地区：[1]哈尔滨工程大学水声技术国家级重点实验室,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2012年第7期828-833,共6页Journal of Harbin Engineering University

基　　金：国家自然科学基金资助项目(50909028)

摘　　要：为了实现对海底快速而准确的遥测,提出一种根据表面噪声矢量场空间相关函数进行海底参数反演的方法.与传统的基于声传播模型的匹配场反演方法相比,所提方法可利用的信息更加丰富,而且水下系统配置简单,无需声源,隐蔽性好,具有一定的军事应用前景.参数优化过程中,采用一种基于差分进化算法和粒子群算法的两级混合优化算法.通过反演结果与仿真真值的比较可以看出,混合优化算法得到了较满意的反演结果,特别是同时考虑不同的声压和质点振速组合方式时,而且与单一的优化算法相比,估计精度总体上得到了显著提高.In order to realize remote sensing of seafloor parameters fast and accurately, an inversion method according to the spatial correlation functions of an acoustic vector field of surface-generated noise was presented. Compared with traditional matched field inversion methods on the basis of sound propagation models, the new method has more available information and simpler underwater system configuration. Furthermore, the method does not need any transmitting sources, which gives it potential application to military affairs because of its covertness. In the process of parameter optimization, a hybrid optimization algorithm with two stages was proposed, which was based on differential evolution and particle swarm optimization. Simulation results indicate that satisfactory estimations are obtained, particularly in considering different combining forms of pressure and particle velocity ; compared with single optimization algorithm, the estimation accuracy is noticeably improved by using the hybrid algorithm.

关 键 词：空间相关函数 混合优化算法 海底参数反演 表面噪声矢量场 

分 类 号：O427.5[理学—声学]