基于被动时反-随机共振的水下弱信号参数优化检测方法

冼敏元; 赵春燕; 何 轲; 王冬石; 付金宝; 吕小鹏; 季赵胜

doi:10.11993/j.issn.2096-3920.2020.05.002

基于被动时反-随机共振的水下弱信号参数优化检测方法

doi: 10.11993/j.issn.2096-3920.2020.05.002

1.
中海油田服务股份有限公司, 河北三河, 065201
2.
西北工业大学航海学院, 陕西西安, 710072

基金项目: 国家重点研发计划(2017YFC0804500); 国家科技重大专项(2016ZX05028-001); 中国海洋石油集团有限公司“十三五”科技重大项目资助(CNOOC-KJ135ZDXM05LTD06SHENHAI 2016).

详细信息

作者简介:
冼敏元(1981-), 男, 本科, 工程师, 主要从事海洋工程装备和机电一体化系统方面的研究.

中图分类号: TJ630 TN929.3
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- 被引次数: 0
出版历程
- 收稿日期: 2020-01-06
- 修回日期: 2020-03-16
- 刊出日期: 2020-10-31

Optimal Approach of Weak Underwater Acoustic Signal Detection Based on Passive Time-Reversal Stochastic Resonance

1.
China Oilfield Services Limited, Sanhe 065201, China
2.
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

摘要

摘要: 在水下弱信号检测领域中, 信道传输中的多径效应与接收信号的低信噪比问题极大地增加了水下弱信号的检测难度。文中基于水声射线理论模型, 提出一种基于被动时反-随机共振(PTR-SR)的水下弱信号参数优化检测方法。该方法结合了时间反转与随机共振的优势, 利用时反方法将水下多径干扰转换为信号增益, 利用随机共振方法将部分噪声能量转移到目标信号中, 同时对增益幅值参数Asr进行优化, 提升低信噪比环境下接收信号的信噪比增益, 并进行了仿真试验分析。仿真结果表明, PTR-SR联合检测方法性能优于传统方法, 可有效提升信号输入-输出信噪比增益, 并能够在更低信噪比下有效进行微弱信号检测。文中方法可为水下弱信号检测技术提供理论和技术支持。
- 弱信号检测 /
- 多径效应 /
- 被动时间反转 /
- 随机共振 /
- 参数优化 /
- 信噪比增益
Abstract: The multipath effect in channel transmission and the low signal-to-noise ratio(SNR) of the received signal significantly increases the difficulty in underwater weak signal detection. Herein, based on a theoretical model of underwater acoustic rays, an optimal detection method for underwater weak signal parameters based on passive-time-reversal stochastic resonance(PTR-SR) is proposed. This method combines the advantages of time-reversal and stochastic resonance, uses a time reversal method to transform underwater multipath interference into signal gain, and uses the stochastic resonance method to transfer part of the noise energy into the target signal. Furthermore, by deducing the optimal solution of the gain amplitude parameter A_sr, the SNR gain of the received signal in the lower SNR region is further improved, and a simulation is performed. The simulation results show that the PTR-SR combined detection method performs better than the traditional method. It can effectively enhance the signal input–output SNR gain and detect weak signals more effectively at lower SNRs, providing a new theoretical and technical support for underwater weak signal detection technology.
- weak acoustic signal detection /
- multipath effect /
- passive-time-reversal /
- stochastic resonance /
- parameter optimization /
- signal noise ratio(SNR) gainweak acoustic signal detection

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参考文献(13)

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