In the last few years great interest has been generated in low-cost integrated navigation systems compromise of inertial navigation system(INS) and Global positioning system (GPS). The development of Micro-Electro-Mechanical Systems (MEMS) in the last decade has permitted mass production of devices, thereby reducing the cost of previously expensive sensors. In this paper we introduce low cost IMUGPS integrated navigation system, focusing on strap down INS systems based on MEMS devices. The most common estimation algorithm used in integrated GPS/INS is the Kalman Filter (KF). In order to perform numerical simulations, MATLAB software has been developed. The paper also provides experimental results; field test using a car is carried out. The primary piece of equipment used was a MEMS-based ADIS16334 IMU (from Analog Device) and a Garmin GPS 18 PC (which is both a receiver and antenna).
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