一种基于光纤激光水听器的PGC改进解调算法

基于分布反馈式（DFB）光纤激光水听器，针对传统相位生成载波（PGC）解调方案中的不足，提出了一种新型的单路微分相除（PGC-SDD）解调算法。与传统的微分交叉相乘（PGC-DCM）和反正切（PGC-Arctan）解调算法相比，该方法仅需要双通道的1路信号作微分处理，以较少的运算步骤和计算量达到解调信号的目的。PGC-SDD算法能够更有效地应对环境引起的光强扰动和调制深度引起的谐波畸变，使解调结果更接近待测信号。对3种解调算法进行仿真和实验验证，结果表明:采用PGC-DCM解调其信噪比约12.4 dB，PGC-Arctan算法的信噪比约13.9 dB，PGC-SDD算法的信噪比达到了17.5 dB。

Improved PGC demodulation algorithm based on optical fiber laser hydrophone

Based on the optical fiber laser hydrophone of distributed feedback(DFB),a new demodulation algorithm of single differential division(PGC-SDD)was proposed for the deficiency of traditional phase generated carrier(PGC)demodulation scheme.Compared with the demodulation algorithms of traditional differential cross-multiplication(PGC-DCM)and the Arctan,the improved algorithm could reach the demodulation results with reduced amount of operation steps and computation,in which only the signals in one of the two channels needed differential calculation.The PGC-SDD algorithm could effectively suppress the light intensity disturbance caused by environment and the harmonic distortion caused by modulation depth,which made the demodulation results closer to the signal to be tested.The simulation and experimental results show that the signal-to-noise ratio of PGC-SDD algorithm can reach to 17.5 dB,higher than 12.4 dB of PGCDCM algorithm and 13.9 dB of PGC-Arctan algorithm.