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为了减小光纤菲佐传感器间的串扰,提高传感器网络的复用能力,提出了基于Pisarenko正弦波恢复法的光纤菲佐应变传感器频分复用网络光谱解调方案。在多光束干涉原理的基础上,建立了基于Pisarenko正弦波恢复方法的传感器频分复用解调模型,并对2个光纤菲佐传感器的串扰进行了实验研究。快速傅里叶变换能够达到应变精度好于±10με的传感器间最小腔长差约为500μm,而该方法可以把最小腔长差缩短至100μm左右。这意味着系统的复用能力提高了大约5倍。因此,该方法是一种串扰小、复用能力强的解调方法,在大容量准分布式传感网络中具有极大的潜在应用价值。
In order to reduce the crosstalk between Fiber Opto sensors and improve the multiplexing ability of the sensor network, a fiber spectral demodulation scheme based on Pisarenko sine wave recovery method is proposed. Based on the principle of multi-beam interference, the demodulation model of the sensor based on Pisarenko’s sine wave restoration method is established. The crosstalk of two fiber-optic sensors is experimentally studied. Fast Fourier Transform can achieve a minimum cavity length difference of about 500μm between transducers with better strain accuracy than ± 10με. This method can shorten the minimum cavity length difference to about 100μm. This means that the system’s ability to re-use increased by about 5 times. Therefore, this method is a kind of demodulation method with small crosstalk and high multiplexing capability, which has great potential application value in large-capacity quasi-distributed sensor networks.