Abstract

In this paper, the issue that the underwater unmanned vehicle (UUV) with a sonar array achieves the passive detection of vessel targets by detecting the tones radiated from the targets is considered. The multi-beam low-frequency analysis and recording method is widely applied in a manned sonar system. The sonar operator provides an auxiliary decision to extract the target tones from the multiple beams output. However, the complexity of the multi-dimensional information fusion makes it difficult to apply the multi-beam processing in the unmanned sonar system. Aiming at this problem, we introduce the self-adjusting characteristics of adaptive line enhancer to a time domain broadband beamformer and then propose a self-steering broadband beamformer. The proposed beamformer can adaptively steer the main beam to the direction-of-arrival (DOA) of the tonal target. There is no need to pre-form the multiple beams. The complexity of the UUV-based tone detection is reduced. Theoretical derivation and simulation experiments verify that the main beam of the proposed beamformer can track the DOA of tonal target which is rapidly changing. Meanwhile, the tonal interferences as well as the wide-band noise are well suppressed.

Highlights

  • With the increasing emphasis on the stealth performance of warships, submarines, underwater vehicles, etc., the radiation noise level of the marine vessels, especially the high-frequency radiation noise level, has been greatly reduced

  • To solve the above problems, a self‐steering broadband beamformer (SBB) for tone detection is is proposed in this paper

  • The convergence rate of the self-steering beamforming is improved by implementing the beamforming on decimated sub-band self‐steering beamforming is improved by implementing the beamforming on decimated sub‐band signals

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Summary

Introduction

With the increasing emphasis on the stealth performance of warships, submarines, underwater vehicles, etc., the radiation noise level of the marine vessels, especially the high-frequency radiation noise level, has been greatly reduced. The sonar operator provides an auxiliary decision to extract the target tones complexity of the multi-dimensional information fusion in time-frequency-direction makes it difficult from the multiple beams output [12,13,14]. When the target DOA information fusion in time‐frequency‐direction makes it difficult to apply the multi‐beam changes rapidly, the target signal appears in the multiple beam outputs in turn It is not conducive for processing in the unmanned sonar system. The proposed beamformer adaptively steers the main beam to the DOA of the tonal target in the time‐domain broadband beamformer and proposes a self‐steering broadband beamforming absence of the information such as target direction, frequencies of tones, target motion status, etc.

Multi‐Beam
Self‐Steering Beamforming Technique for Tone Detection
Beam Self‐Steering
Time‐Domain Broadband Beamformer Output y n
Beam Self-Steering Characteristics Analysis
Interference Suppression and Convergence Rate Improvement
Sub-band beamforming
Space-time projection matrix
Schematic
Broadband Beam Response Analysis
Lofargram
The Beam Output Performance for Different DOAs of Target
Conclusions
Full Text
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