首页|A feedback control method for phase signal demodulation in fiber-optic hydrophones

A feedback control method for phase signal demodulation in fiber-optic hydrophones

扫码查看
In the realm of acoustic signal detection,the identification of weak signals,particularly in the presence of negative signal-to-noise ratios,poses a significant chal-lenge.This challenge is further heightened when signals are acquired through fiber-optic hydrophones,as these signals often lack physical significance and resist clear system-atic modeling.Conventional processing methods,e.g.,low-pass filter(LPF),require a thorough understanding of the effective signal bandwidth for noise reduction,and may introduce undesirable time lags.This paper introduces an innovative feedback control method with dual Kalman filters for the demodulation of phase signals with noises in fiber-optic hydrophones.A mathematical model of the closed-loop system is established to guide the design of the feedback control,aiming to achieve a balance with the input phase signal.The dual Kalman filters are instrumental in mitigating the effects of signal noise,observation noise,and control execution noise,thereby enabling precise estima-tion for the input phase signals.The effectiveness of this feedback control method is demonstrated through examples,showcasing the restoration of low-noise signals,negative signal-to-noise ratio signals,and multi-frequency signals.This research contributes to the technical advancement of high-performance devices,including fiber-optic hydrophones and phase-locked amplifiers.

feedback control methodfiber-optic hydrophoneacoustic signal detectionphase signal

Zhiqiang LIU、Lei XIA、Qiangfeng LYU、Bin WU、Ronghua HUAN、Zhilong HUANG

展开 >

Department of Mechanics,Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province,Zhejiang University,Hangzhou 310000,China

Huanjiang Laboratory,Zhuji 311899,Zhejiang Province,China

Advanced Technology Research Institute,Zhejiang University,Hangzhou 310000,China

国家重点研发计划国家自然科学基金国家自然科学基金国家自然科学基金浙江省自然科学基金

2022YFB3203600121723231213201312332003LZ22A020003

2024

应用数学和力学(英文版)
上海大学

应用数学和力学(英文版)

影响因子:0.294
ISSN:0253-4827
年,卷(期):2024.45(3)
  • 23