- Indoor and Outdoor Localization Technologies
- Inertial Sensor and Navigation
- Gait Recognition and Analysis
- Robotics and Sensor-Based Localization
- Target Tracking and Data Fusion in Sensor Networks
Beijing Forestry University
2020-2021
The pedestrian navigation system using inertial and magnetic sensors can determine the pedestrian's attitude position. However, field measurement is affected by external interference, which leads to heading error. Therefore, it of great importance suppress interference. threshold method often used detect this fails under weak interference environment because intensity approximately equal that geomagnetic intensity. A generalized likelihood ratio test (GLRT) proposed in study. function...
The Foot-mounted Inertial Pedestrian-Positioning System (FIPPS) based on the Micro-Inertial Measurement Unit (MIMU) is a good choice for forest fire fighters when Global Navigation Satellite unavailable. Zero Velocity Update (ZUPT) provides solution reducing cumulative positioning errors caused by integral calculation of inertial navigation. However, performance ZUPT highly affected low accuracy and high noise MIMU. conventional attitude alignment reduced zero offset acceleration drift...
Aiming at the low precision of Kalman filter in dealing with non-linear and non-Gaussian models serious particle degradation standard filter, a zero-velocity correction algorithm adaptive is proposed this paper. In order to improve efficiency resampling, threshold combined filter. process co-efficient introduced judge degree degradation, particles are re-sampled ensure diversity particles. verify effectiveness feasibility algorithm, hardware platform based on inertial measurement unit (IMU)...