Indoor Positioning and Tracking by Coupling IMU and UWB with the Extended Kalman Filter

被引:11
|
作者
Krishnaveni, B. Venkata [1 ]
Reddy, K. Suresh [2 ]
Reddy, P. Ramana [1 ]
机构
[1] Jawaharlal Nehru Technol Univ Anantapur, Elect & Commun Engn Dept, Ananthapuramu, India
[2] G Pulla Reddy Engn Coll Autonomous, Elect & Commun Engn Dept, Kurnool, India
关键词
Detection-by-tracking; Extended Kalman filter 2D; 3D tracking; Indoor positioning; IOT; UWB; LOCALIZATION;
D O I
10.1080/03772063.2022.2028580
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The goal of making each related object "location aware," or "answering the where," could boost the value of Internet of Things applications (IoT). Ultra-wideband (UWB) is applied in many services. UWB is used as the Real-Time Location System (RTLS), empowering the influence of things to come. Its reception in consumer smartphones and industrial indoor frameworks has made the RF technology watch regardless of the industry. It evident that understanding UWB is indispensable to planning future-evidence target tracking and indoor positioning systems with high accuracy that carries indoor insight into the most confounded assembled conditions. The target's location is estimated by using the Iterative method, which uses time of arrival (TOA) values. The Mean Square Error is calculated and compared between 2D and 3D environments. This paper also reports the design of an object tracker that uses Inertial Measurement Unit (IMU) and Extended Kalman Filter (EKF). The performance of the EKF is displayed using simulated target tracking in a 3D environment.
引用
收藏
页码:6757 / 6766
页数:10
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