Multi-sensory data fusion for high performance attitude estimation

Fusion of Low-Cost MEMS IMU/GPS Integrated Navigation System

Multisensor Data Fusion Fuzzy Similarity-based of Several Kalman Filters

Fast Converging with High Accuracy Est imates of Satellite Attitude and Orbit Based on Magnetometer Augmented with Gyro, Star Sensor and GPS via Extended Kalman Filter

Improving The Positioning Accuracy of High speed Aircraft By using Integrated GPS/INS Navigation System

Integrated MEMS-Based IMU/GPS navigation system for motion dynamical vehicles

Performance Enhancement of Low Cost Non-GPS Aided INS for Unmanned Applications

Hybrid Approach to Passive Ranging with Two Infrared Non-Imaging Sensors

A novel multisensor integration approach for distributed detection systems with data fusion

Error Models for MEMS Based IMU