Review on UWB-based and multi-sensor fusion positioning algorithms in indoor environment

With the improvement and constantly updating of positioning technology, the requirement for positioning accuracy is also getting higher. UWB is a key positioning technology for the complex environment, Firstly, qualitative analysis of all kinds of errors in UWB indoor positioning is enumerated. And based on different fusion algorithms integrated positioning system is introduced. Finally, multi-data fusion positioning error correction method based on UWB and integrated ROS system is put forward. This proposed model has better robust, which can make full advantage of the positioning advantages of UWB, IMU and SLAM sensors, combined with Kalman Filter algorithm to solve the problem of low positioning accuracy of single sensor in complex environment.