Rao Y J, Wang X J, Zhu T, Zhou C X
Optical Fiber Technology Research Center, School of Communication and Information Engineering, University of Electronic Science & Technology of China, Chengdu, Sichuan 610054, China.
Opt Lett. 2006 Mar 15;31(6):700-2. doi: 10.1364/ol.31.000700.
A demodulation algorithm for spatial-frequency-division-multiplexed fiber-optic Fizeau strain sensor networks with a large number of sensors is proposed to effectively reduce the cross talk between any two adjacent sensors and hence substantially enhance the multiplexing capability of the network, which is based on the Pisarenko algorithm. The cross talk between two fiber-optic Fizeau sensors is investigated experimentally. The experimental results show that a strain accuracy of better than +/-10 micro permittivity can be achieved even when the cavity length difference is approximately 100 microm. It was demonstrated that the multiplexing capability of the spatial-frequency-division-multiplexed fiber-optic Fizeau sensor network can be approximately 5 times greater than that of the conventional fast-Fourier-transform algorithm, and this can lead to achievement of a sensing network with a multiplexing capability of as many as 1000 Fizeau sensors.
提出了一种适用于具有大量传感器的空分复用光纤菲佐应变传感器网络的解调算法，该算法基于皮萨连科算法，可有效降低任意两个相邻传感器之间的串扰，从而大幅提高网络的复用能力。对两个光纤菲佐传感器之间的串扰进行了实验研究。实验结果表明，即使腔长差约为100微米，也能实现优于±10微应变的应变精度。结果表明，空分复用光纤菲佐传感器网络的复用能力比传统快速傅里叶变换算法大约高5倍，这可以实现一个具有多达1000个菲佐传感器复用能力的传感网络。
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