WE HAVE DEVELOPED A PROTOTYPE OF A MEMS (MICRO- ELECTRO-MECHANICAL SYSTEMS) BASED 3D OBJECT POSITIONING SYSTEM WHICH MAKES USE OF A MICRO INERTIAL MEASUREMENT UNIT (ΜIMU) CONSTRUCTED FROM MEMS Accelerometers AND GYROSCOPES FOR REAL-TIME OBJECT POSITIONING SYSTEM. IN PRIMARY SHOW TWO COORDINATE SYSTEMS. ONE IS THE BODY FRAME, WHICH REPRESENTS THE COORDINATE SYSTEM ALIGNED WITH THE CONFIGURATION OF THE Accelerometers ATTACHED ON THE OBJECT. THE OTHER IS THE NAVIGATION FRAME, WHICH REPRESENTS THE COORDINATE SYSTEM WE USED IN THE NAVIGATION TRACKING. IN ORDER TO REPRODUCE THE OBJECT TRAJECTORY, WE FIRST NEED TO TRANSFORM THE ACCELERATION IN THE BODY FRAME TO THE NAVIGATION FRAME. ONE REASON IS THAT THE NECESSARY DOUBLE INTEGRATION FROM ACCELERATION TO POSITION PROPAGATES THE NOISE ASSOCIATED WITH THE SENSORS TO THE TRACKED POSITION, AND SUCH ERRORS INCREASE WITHOUT BOUND. DIFFERENT EXISTING ERROR REDUCTION TECHNIQUES ARE INVESTIGATED AND NOVEL SCHEMES PROPOSED WITH AN AIM TO PROVIDE A PRACTICAL SOLUTION TO THIS PROBLEM. WE HAVE PROPOSED NOVEL ERROR REDUCTION SCHEMES FOR THIS OBJECT POSITIONING SYSTEM. WE USE FROM THE KALMAN FILTERING ALGORITHM WITH THE ADDITION OF ABSOLUTE POSITION INFORMATION.