基于同步累积法的舰船尾流微弱信号检测方法研究

宗思光; 段子科; 张鑫; 余扬; 王柏雄

doi:10.3788/IRLA2022

Article Contents

Chinese Optics > 2024 > Accepted Manuscript

ZONG Si-guang, DUAN Zi-ke, ZHANG Xin, YU Yang, WANG Bai-xiong. Research on the detection method of ship wake weak signal based on synchronous accumulation method[J]. Chinese Optics. doi: 10.3788/IRLA2022

Citation:

ZONG Si-guang, DUAN Zi-ke, ZHANG Xin, YU Yang, WANG Bai-xiong. Research on the detection method of ship wake weak signal based on synchronous accumulation method[J]. Chinese Optics. doi: 10.3788/IRLA2022

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Research on the detection method of ship wake weak signal based on synchronous accumulation method

doi: 10.3788/IRLA2022

1.
College of Electronic Engineering, Naval university of Engineering, Wuhan 430033, China
2.
Qingdao Branch, Naval Aeronautical university, Qingdao 266041, China
3.
Wuhan University, Wuhan 430070, China

Funds: Supported by

More Information

Corresponding author: 1714308601@qq.com
Received Date: 17 Jan 2024
Accepted Date: 27 Mar 2024

Available Online: 13 Apr 2024

Abstract

Abstract

Objetive
In order to adapt to the complex dynamic changing wake bubble field environment, the detection signal-to-noise ratio and detection rate of ship wake weak signal are improved, and the detection range is expanded.
Method
In this paper, a detection method of ship wake weak signals based on synchronous accumulation method is proposed. By taking advantage of the repeatability of periodic signals and the randomness of noise, cumulative normalization is performed on successive periodic signals, which can effectively improve the detection signal-to-noise ratio and reduce the interference of random signals on detection performance. In order to evaluate the detection performance of the algorithm under multi-parameter coupling, a multi-time scale detection capability evaluation model for ship wake weak signals is established.
Result
By conducting a large number of simulated ship wake detection experiments in indoor large pools and outdoor typical lakes, it is verified that the algorithm is suitable for the detection of sparse and discrete tiny far-field wake bubbles to large-scale near-field bubbles under high turbulence disturbance, thus realizing the full-time ship wake tracking and detection and effectively improving the underwater weapon strike capability.
Conclusion
It can provide support for ship wake laser detection and identification engineering practice.
- laser acquisition,
- ship wake,
- signal processing

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References(14)

References

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