Evaluation of solid-state accelerometer for positioning of vehicle

An evaluation of a low-cost, small sized solid state accelerometer in the absence of absolute positioning information is performed in this paper. Acceleration signal outputted by the sensor is doubly integrated with time that yields the travel distance. Due to bias and Thermal noise of the accelerometer which is accumulate in time, Kalman filter is need to be design to increase the accuracy of position estimation system. A modeling for bias of solid state accelerometer ADXL250 QCG without aiding sensor evaluated in this paper. During the preceding time instants, the position information becomes increasingly untrustworthy and the validity of the position updates decays. So, we used a smoother algorithm based Kalman filter for better estimation accuracy in position estimation. Result show smoothing algorithm increase the accuracy of position estimate for short time duration