Efficient Divided Difference filters applied to low accuracy
inertial navigation system
The application of the divided derivative filters is described, applied and compared to the most popular tool in estimation , the extended Kalman filter (EKF). In our work the first order divided difference filter and the second order divided difference filter were simulated and applied to integrated navigation system including inertial measurement unit and global positioning system. These filters were tested and applied for low cost inertial sensors with very low accuracy, finally, the results are discussed and compared in different conditions.