Real-time precision pedestrian navigation solution using Inertial Navigation System and Global Positioning System

Real Time Pedestrian Navigation System

This paper presents a real time pedestrian navigation system that combines different type of GPS receivers (namely High Sensitivity GPS and Assisted GPS) with several low-cost inertial sensors to face GPS outages and provide a reliable and continuous position solution. The off-the-shelf inertial module from Xsens is made of several low-cost MEMS type sensors contained in a very small package (5...

Real-Time Navigation Using the Global Positioning System

For more than a decade, TRW has been involved in aerospace applications of the Global Positioning System (GPS). TRW Ballistic Missiles Division first began working with GPS on a Minuteman missile test flight program in 1980. Since then, TRW has applied GPS to programs such as the Peacekeeper missile, the F-22 fighter aircraft, the Orbital Maneuvering Vehicle, Brilliant Pebbles, and classified s...

Precision and Reliability Incensement of Inertial Navigation System with Rotation and Redundancy

Precision and reliability are two main performance characteristic in low-cost Inertial Navigation System(INS). Increase of precision in low-cost INS without auxiliary sensors is main challenge. Bias instability leads to position drift error in inertial navigation system. In addition, fault occurrence makes the sensor reliability is decreased. Rotation of Inertial Measurement Unit(RIMU) and use ...

Precision Position, Navigation, and Timing without the Global Positioning System

Adaptive Fusion of Inertial Navigation System and Tracking Radar Data

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...