Abstract
Noise is a major issue in signal processing as it limits the performance of the device and it is an issue in signal processing devices still face today. This research aims to eliminate sensor noise of a 3D tracking engine for mobile devices that utilize the gyro sensors and accelerometers. The study determined the weight of each variable on a noise filter tailored 3D inertial navigation system and measured the accuracy of Inertial Measurement Units (IMU) data. A comparison was made with base Kalman Filter and Extended Kalman Filter to find out which among these filters are more useful for 3D Inertial Navigation Systems (INS) Microelectromechanical Systems (MEMS) IMU's. The results showed the most significant variables that affect the removal of sensor noise.
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