A tracking compensation technique for intensity modulation laser optic fiber sensor system based on radial basis function neural network is presented. The less influence of laser output power fluctuation and nonlinear calibration of sensor are realized simultaneously with this method. Long-term stability of sensor is improved. A broad measuring range and an enhance measuring accuracy of the sensor can be obtained. An example of optic fiber displacement sensor is illustrated. The result indicates that the method is effective.