Hardware Implementation of Low Cost Inertial Navigation System Using Mems Inertial Sensors

On-Line Smoothing for an Integrated Navigation System with Low-Cost MEMS Inertial Sensors

The integration of the Inertial Navigation System (INS) and the Global Positioning System (GPS) is widely applied to seamlessly determine the time-variable position and orientation parameters of a system for navigation and mobile mapping applications. For optimal data fusion, the Kalman filter (KF) is often used for real-time applications. Backward smoothing is considered an optimal post-proces...

Test Results of a Gps/inertial Navigation System Using a Low Cost Mems Imu

This paper describes the design, operation, and test results of a miniature, low cost integrated GPS/inertial navigation system that uses commercial off-the-shelf Micro-Electro-Mechanical System (MEMS) accelerometers and gyroscopes. The MEMS inertial measurement unit (IMU) is packaged in a small size and provides the raw IMU data through a serial interface to a processor board where the inertia...

Intelligent Calibration Method of low cost MEMS Inertial Measurement Unit for an FPGA-based Navigation System

Based on a small, lightweight, low-cost high performance inertial Measurement Units(IMU), an effective calibration method is implemented to evaluate the performance of Micro-Electro-Mechanical Systems(MEMS) sensors suffering from various errors to get acceptable navigation results. A prototype development board based on FPGA, dual core processor’s configuration for INS/GPS integrated navigation...

Application of an Inertial Navigation System to the Quad-rotor UAV using MEMS Sensors

Inertial navigation systems are used in many situations where the use of an external reference to measure position is impractical or unreliable. Typical inertial navigation systems used in aeronautics and marine applications are highly advanced pieces of equipment costing thousands of dollars. However, inexpensive accelerometers and angular rate sensors (gyros) can be used to make a far less ac...

ANALYZING AND MODELING LOW-COST MEMS IMUS FOR USE IN AN INERTIAL NAVIGATION SYSTEM by