深海声影区利用窄带距离维干涉结构的声源深度估计
Source depth estimation using narrowband range-dimensional interference structures in the shadow zone of deep water
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摘要: 针对深海声影区宽带连续谱信号信噪比较低导致传统目标深度估计方法失效的问题, 提出了两种利用声场窄带距离维干涉结构的声源深度估计方法。当声源和接收器均位于海面附近时, 由于四类一次海底反射声线的相干叠加, 接收端在第一影区可观测到两类窄带距离维干涉结构, 分别与两类多途到达时延差相关。本文对上述两类时延差的解析表达式进行简化, 推导了水下声源激发声场中两类干涉结构的窄带距离维干涉间隔与声源位置和接收深度的关系式。基于上述关系, 提出了两种利用窄带距离维干涉间隔的单水听器水下声源深度估计方法, 与现有方法相比, 所提方法可同时适用于宽带脉冲声源和窄带线谱声源, 且无需拷贝场计算。实验数据验证表明, 在声源距离20~37 km范围内, 宽带和窄带场景下两种方法的声源深度估计误差均不超过18%。Abstract: To address the problem that traditional source depth estimation methods fail due to the low signal-to-noise ratio of broadband continuous-spectrum signals in the shadow zone of deep water, two source depth estimation methods are proposed using the narrowband range-dimensional interference structures of the acoustic field. When both the source and the receiver are located near the sea surface, two types of narrowband range-dimensional interference structures can be observed at the receiver in the first shadow zone, arising from the coherent superposition of four kinds of single bottom-reflected rays, and these structures are associated with two types of multipath arrival time delays, respectively. In this paper, the analytical expressions of the above two time delays are simplified, and the relationships between the narrowband range-dimensional interference spacings of the two interference structures and the source position as well as the receiver depth are derived for the acoustic field excited by an underwater source. Based on these relationships, two single-hydrophone source depth estimation methods are proposed using the narrowband range-dimensional interference spacings. Compared with existing methods, the proposed methods can be applied to both broadband impulsive sources and narrowband line-spectrum sources, and do not require replica field computations. Experimental data validation shows that within the source range of 20 km to 37 km, the estimation errors of both methods do not exceed 18% for both broadband and narrowband scenarios.
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