EI / SCOPUS / CSCD 收录

中文核心期刊

利用深海回声多途结构匹配估计目标深度

Target depth estimation using echo multipath structure matching in deep water

  • 摘要: 提出一种利用深海目标回声多途亮点簇时延和幅度结构匹配估计目标深度的方法。目标回声结构是双程信道传递函数和目标声散射函数的卷积,在深海近海面或近海底条件下表现出回声亮点簇的特性,且亮点簇时延幅度结构与目标深度相关,可用于估计目标深度。建立了在深度—距离网格上利用非线性规划代价函数对目标深度进行匹配估计的方法。分别对簇间时延偏差和海水声速剖面(SVP)偏差对匹配估计的影响进行了仿真分析。一次南海冬季试验结果显示,在水深1 km、距离5~8 km条件下,水下40 m处的目标回声呈现出3个时延间隔约0.3 s的亮点簇结构,将其用于目标深度匹配估计的误差范围在0~65 m。

     

    Abstract: A method for estimating the target depth in deep water by matching the amplitude and delay structure of multipath echo highlight clusters is proposed. The target echo structure is the convolution of two-way channel transfer function and target acoustic scattering function. It will show the characteristics of highlight clusters under near surface or near bottom condition in deep water, and the delay-amplitude structure of highlight cluster is related to the target depth which can be used to estimate the target depth. A matching cost function based on nonlinear programming model is established to match and estimate the target depth on the distance-depth grid. The effects of inter-cluster time delay deviation and Sound Velocity Profile (SVP) deviation on matching estimation are simulated and analyzed. The results of a winter sea test in the South China Sea show that under the condition of water depth of 1km and distance of 5~8 km, the echo of the target of 40 m depth present three highlight clusters with the time interval of about 0.3 s, and the error range of target depth matching estimation is 0~65 m.

     

/

返回文章
返回