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Analyzing OTDR Measurement Data Using the Kalman Filter

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4 Author(s)
Yongmin Kim ; NanoTronix Co., Ltd., Seoul ; Jinho Sung ; Sung Ryul Hong ; Jaehong Park

In this paper, we present a method for calculating the attenuation factor and detecting the reflective and nonreflective events using the Kalman filter. For the part of the data whose signal-to-noise ratio is sufficiently high, we propose a second-order linear model by approximating the measurement data after the logarithm is applied; we design the optimal and suboptimal linear Kalman filters based on this model. Through a representative experiment, the proposed method is verified to precisely calculate the attenuation factor and detect the events with minimal computational resources.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:57 ,  Issue: 5 )

Date of Publication:

May 2008

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