Abstract

This paper mainly studies and verifies the target number category-resolution method in multi-target cases and the target depth-resolution method of aerial targets. Firstly, target depth resolution is performed by using the sign distribution of the reactive component of the vertical complex acoustic intensity; the target category and the number resolution in multi-target cases is realized with a combination of the bearing-time recording information; and the corresponding simulation verification is carried out. The algorithm proposed in this paper can distinguish between the single-target multi-line spectrum case and the multi-target multi-line spectrum case. This paper presents an improved azimuth-estimation method for multi-target cases, which makes the estimation results more accurate. Using the Monte Carlo simulation, the feasibility of the proposed target number and category-resolution algorithm in multi-target cases is verified. In addition, by studying the field characteristics of the aerial and surface targets, the simulation results verify that there is only amplitude difference between the aerial target field and the surface target field under the same environmental parameters, and an aerial target can be treated as a special case of a surface target; the aerial target category resolution can then be realized based on the sign distribution of the reactive component of the vertical acoustic intensity so as to realize three-dimensional target depth resolution. By processing data from a sea experiment, the feasibility of the proposed aerial target three-dimensional depth-resolution algorithm is verified.

Highlights

  • Current acoustic positioning technology operates mainly through the processing of signals collected by underwater sensors

  • This paper mainly aims to distinguish the single-target case and the multi-target case, so as to realize the target number resolution

  • The pressure and vertical velocity signals are all collected by a single three-dimensional vector sensor in the following simulations

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Summary

Introduction

Current acoustic positioning technology operates mainly through the processing of signals collected by underwater sensors. Based on the processing results, the three-dimensional positioning of the targets can be realized through the estimation of distance, depth and azimuth of the targets. The resolution of surface and underwater targets is one of the hotspots in the field of underwater acoustic detection. It can effectively improve the resolution accuracy of underwater threat-representative targets so as to improve the safety and concealment of underwater maneuvering targets. The target depth estimation is the key problem of target category resolution, while the effective resolution of surface and underwater targets is the key problem of the target depth estimation. The effective resolution of surface and underwater targets has not yet been successfully applied

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