A Robust and Adaptive Complementary Kalman Filter Based on Mahalanobis Distance for Ultra Wideband/Inertial Measurement Unit Fusion Positioning
Ultra wideband (UWB) has been a popular technology for indoor positioning due to its high accuracy. However, in many indoor application scenarios UWB measurements are influenced by outliers under non-line of sight (NLOS) conditions. To detect and eliminate outlying UWB observations, we propose a UWB...
Main Authors: | Xin Li, Yan Wang, Kourosh Khoshelham |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/10/3435 |
Similar Items
-
An Adaptive UWB/MEMS-IMU Complementary Kalman Filter for Indoor Location in NLOS Environment
by: Fei Liu, et al.
Published: (2019-11-01) -
A Novel Adaptively-Robust Strategy Based on the Mahalanobis Distance for GPS/INS Integrated Navigation Systems
by: Chen Jiang, et al.
Published: (2018-02-01) -
IMU/UWB Fusion Method Using a Complementary Filter and a Kalman Filter for Hybrid Upper Limb Motion Estimation
by: Yutong Shi, et al.
Published: (2023-07-01) -
Adaptive weighted federated Kalman filtering based on Mahalanobis distance and its application in navigation
by: Yi Gao, et al.
Published: (2023-10-01) -
A Polar Robust Kalman Filter Algorithm for DVL-Aided SINSs Based on the Ellipsoidal Earth Model
by: Ming Tian, et al.
Published: (2022-10-01)