Abstract—This paper presents a method for temperature compensation of fiber Bragg grating based manometry. The catheter used in manometry contains two fibers, one is used for pressure measurements and the other one is used to sense only temperature changes. Therefore, two signals are obtained from the system, and the aim of this paper is to process the two signals to compensate for temperature variations in the pressure signal. An algorithm is developed to compensate for the temperature variations using an autoregressive (AR) model and a Kalman filter. The algorithm fits an AR model to the difference between the two signals and the corresponding coefficients are estimated using Kalman filter. When a pressure signal is detected, the difference signal during the pressure period is considered missing and the previously determined AR model is used to estimate that signal. The estimated signal is then added to the temperature signal and the compensated difference is estimated. The developed algorithm performance is evaluated in this paper using both simulated and measured datasets.