Abstract
In this paper, based on the reactive component of the vertical intensity, the method for target depth resolution has been improved. In the previous existing research results, using the reactive component of vertical intensity, the research objects for target depth resolution in shallow water, can only be the targets whose frequencies can only excite the first two normal modes, and the depth of targets whose frequencies excite more than two normal modes cannot be correctly identified. The basic idea of the improved method is to classify targets on the foundation of the lower-mode correlation quantity of the vertical intensity. Based on the improved method, we can realize depth resolution of the targets whose frequency can excite the first three normal modes so as to effectively expand the working band useful for target depth resolution. Finally, we can realize the three-dimensional target depth resolution so as to distinguish the aerial, surface and underwater targets. The feasibility of the algorithm is verified by simulation and experimental data processing.
Highlights
The acoustic field is described with two separate variables: the scalar pressure and the vectorial particle velocity variables
This paper proposes an improved method for target depth resolution according to the depth resolution requirements of target at the higher frequencies in the Very Low Frequency (VLF) band
Through the theoretical study of the different expressions of vertical intensity, the reason why the reactive component of vertical intensity can only be used for depth resolution of the targets whose frequency can excite the first two normal modes is studied
Summary
The acoustic field is described with two separate variables: the scalar pressure and the vectorial particle velocity variables. The pressure variable is significantly simpler to measure. A majority of the existing acoustic applications rely on omni-directional pressure sensors. Being a scalar variable, pressure measurements at a point in space do not provide directional information regarding the acoustic field. The particle velocity has historically been neglected, despite providing directional information regarding the acoustic field. This can be attributed to the lack of affordable sensors capable of reliable measurements [1]. Particle velocity sensors are combined with pressure sensors in a single package to form an acoustic vector sensor (AVS). The use of signals collected by vector sensors can acquire more useful information of the target signals so as to lay a solid foundation for subsequent detection, identification, and positioning
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