Abstract
Three-component fiber optic seismometers are widely used in the detection of seismic signals. The arctangent approach of phase-generated carrier (PGC-Arctan) demodulation algorithm is one of the commonly used demodulation techniques in FOISs. Nonlinear factors such as phase modulation depth( $C$ ) variation and light intensity disturbance (LID) have an important impact on performance of traditional PGC demodulation algorithms. This paper introduces a new demodulation algorithm called Kalman filtering ellipse (PGC-Arctan-EKF) demodulation algorithm, which can improve the robustness of the fitting. In order to meet the requirements of high performance and low power consumption of seafloor sensing, Tri-Component fiber optic seismometer based on SoC(ARM +FPGA) is proposed in this paper. The phase self-noise of the system is better than −115 dB re rad/Hz 1/2 ,and the large signal can reach 66 dB re rad/Hz 1/2 @220Hz with the THD is −61.22 dB.
Highlights
Earthquake monitoring and early warning are of great significance for reducing property damage and casualties caused by earthquakes
In the new generation of geophones, the fiber optic seismic detector has the advantages of a passive sensor, strong anti-electromagnetic interference, high sensitivity, small footprint, easy network deployment, etc
This paper proposes a algorithm called Tri-componentPGC-Arctan-EKF demodulation algorithm based on Xilinx MPSoC
Summary
Earthquake monitoring and early warning are of great significance for reducing property damage and casualties caused by earthquakes. 116 dB [31], [32]. Tong et al [22] proposed a new algorithm, which could eliminate the interference of light intensity and the influence caused by the fluctuation of environment. This method introduced the carrier’s third harmonic and high-pass filter, the computation of this method was very complicated and difficult to be implemented by hardware [22].
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