Estimation of inertial sensors error impact on platformless inertial navigation system accuracy

Gyroscope Drift Error Analysis in the Position-Independent Navigation Algorithm of a stable platform Inertial System

This paper deals with analyzing gyroscope drift error in the position-independent navigation algorithm of a stable platform inertial system. Most of the stable platform navigation algorithms proposed in the literature have drawbacks of estimating position rates for alignment commands. Not only the estimating position rates are the basic source of position errors, but they also make the alignmen...

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...

Inertial sensors for smartphones navigation.

The advent of smartphones and tablets, means that we can constantly get information on our current geographical location. These devices include not only GPS/GNSS chipsets but also mass-market inertial platforms that can be used to plan activities, share locations on social networks, and also to perform positioning in indoor and outdoor scenarios. This paper shows the performance of smartphones ...

Inertial Indoor Navigation System

This paper represents a first step in developing an indoor navigation system based only on Micro-Electro-Mechanical Systems (MEMS) accelerometer and gyroscope sensors. The major advantage of the proposed inertial navigation system consists on the fact that it does not require any complex infrastructure to be able to operate. For determining the distance it uses three axis accelerometer sensors,...

Micro Inertial Navigation System