Abstract
A novel positioning error reduction technique is proposed
for dual Mach-Zehnder fiber interferometric distributed vibration sensor.
The 3 dB bandwidth of the power spectrum of interference signal is broadened
to reduce the mean square error (MSE) of the cross-correlation based positioning
algorithm. A high-pass filter (HPF) whose cutoff frequency is larger than
the upper frequency of signal 3 dB bandwidth is applied to reshape the original
power spectrum by attenuating the magnitude of low-frequency mainlobe to the
same order as that of the small high-frequency components. The usage of HPF
can cause bandwidth broadening and signal to noise ratio (SNR) reduction,
the influence of both effects on ultimate positioning MSE are analyzed in
detail. Theoretical analysis shows that there exists a valid region for the
cutoff frequency of the HPF within which the contribution of bandwidth broadening
dominates the process. The technique is also experimentally verified and analyzed
by field test on an installed submarine cable between two islands of Zhejiang
Province, China. Field test results coincide with the theoretical predictions
and show that a maximum of 7 dB reduction of positioning MSE can be achieved
when optimal cutoff frequency of HPF is used.
© 2012 IEEE
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