Mingsheng Wei , Lide Liu , Shidang Li , Di Wang , Wenshuai Li
{"title":"Gauss-AUKF based UWB/IMU fusion localization approach","authors":"Mingsheng Wei , Lide Liu , Shidang Li , Di Wang , Wenshuai Li","doi":"10.1016/j.adhoc.2025.103855","DOIUrl":null,"url":null,"abstract":"<div><div>To address the challenge of accurate positioning for ultra-wideband (UWB) systems in complex environments, this paper proposes a multi-sensor fusion localization method based on Gaussian-Adaptive Unscented Kalman Filtering (Gauss-AUKF) for UWB/IMU integration. The method rejects extreme values by performing Gaussian filtering optimization processing on the UWB range information to suppress the range error. And the UWB ranging information is fused with the data acquired by the inertial measurement unit (IMU) using an adaptive Unscented Kalman filter.An adaptive factor is introduced in the fusion process to minimize systematic errors and filter divergence by updating the measure noise covariance matrix in a real-time manner. The proposed method is validated through numerical simulations and experimental tests on a mobile robot equipped with a UWB hardware platform. The performance is evaluated in line-of-sight (LOS) and non-line-of-sight (NLOS) UWB scenarios, and compared with the traditional Extended Kalman Filter (EKF) , the Unscented Kalman Filter (UKF). The results demonstrate that the proposed approach significantly enhances localization accuracy in both LOS and NLOS conditions. The algorithm proposed in this paper has good performance in all three different NLOS environments.</div></div>","PeriodicalId":55555,"journal":{"name":"Ad Hoc Networks","volume":"175 ","pages":"Article 103855"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ad Hoc Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1570870525001039","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
To address the challenge of accurate positioning for ultra-wideband (UWB) systems in complex environments, this paper proposes a multi-sensor fusion localization method based on Gaussian-Adaptive Unscented Kalman Filtering (Gauss-AUKF) for UWB/IMU integration. The method rejects extreme values by performing Gaussian filtering optimization processing on the UWB range information to suppress the range error. And the UWB ranging information is fused with the data acquired by the inertial measurement unit (IMU) using an adaptive Unscented Kalman filter.An adaptive factor is introduced in the fusion process to minimize systematic errors and filter divergence by updating the measure noise covariance matrix in a real-time manner. The proposed method is validated through numerical simulations and experimental tests on a mobile robot equipped with a UWB hardware platform. The performance is evaluated in line-of-sight (LOS) and non-line-of-sight (NLOS) UWB scenarios, and compared with the traditional Extended Kalman Filter (EKF) , the Unscented Kalman Filter (UKF). The results demonstrate that the proposed approach significantly enhances localization accuracy in both LOS and NLOS conditions. The algorithm proposed in this paper has good performance in all three different NLOS environments.
期刊介绍:
The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to:
Mobile and Wireless Ad Hoc Networks
Sensor Networks
Wireless Local and Personal Area Networks
Home Networks
Ad Hoc Networks of Autonomous Intelligent Systems
Novel Architectures for Ad Hoc and Sensor Networks
Self-organizing Network Architectures and Protocols
Transport Layer Protocols
Routing protocols (unicast, multicast, geocast, etc.)
Media Access Control Techniques
Error Control Schemes
Power-Aware, Low-Power and Energy-Efficient Designs
Synchronization and Scheduling Issues
Mobility Management
Mobility-Tolerant Communication Protocols
Location Tracking and Location-based Services
Resource and Information Management
Security and Fault-Tolerance Issues
Hardware and Software Platforms, Systems, and Testbeds
Experimental and Prototype Results
Quality-of-Service Issues
Cross-Layer Interactions
Scalability Issues
Performance Analysis and Simulation of Protocols.