Online Learning Based NLOS Ranging Error Mitigation in 5G Positioning
The fifth-generation (5G) wireless communication is useful for positioning due to its large bandwidth and low cost. However, the presence of obstacles that block the line-of-sight (LOS) path between devices would affect localization accuracy severely. In this paper, we propose an online learning approach to mitigate ranging error directly in non-line-of-sight (NLOS) channels. The distribution of NLOS ranging error is learned from received raw signals, where a network with neural processes regressor (NPR) is utilized to learn the environment and range-related information precisely. The network can be implemented for online learning free from retraining the network, which is computationally efficient. Simulation results show that the proposed approach outperforms conventional techniques in terms of NLOS ranging error mitigation.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
NLOS Error Mitigation Using Weighted Least Squares and Kalman Filter in UWB Positioning
In wireless positioning systems, non-line-of-sight (NLOS) is a challenging problem. NLOS causes great ranging bias and location error, so NLOS mitigation is essential for high accuracy positioning. In this letter, we pro…
Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity
Accurate and robust positioning in multipath environments can enable many applications, such as search-and-rescue and asset tracking. For this problem, ultra-wideband (UWB) technology can provide the most accurate range …
GPRFirst path component power based NLOS mitigation in UWB positioning system
The paper describes an NLOS (Non-Line-of-Sight) mitigation method intended for use in a UWB positioning system. In the proposed method propagation conditions between the localized objects and the anchors forming system i…
TAGRobust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge
Ultra-wideband (UWB) is the state-of-the-art and most popular technology for wireless localization. Nevertheless, precise ranging and localization in non-line-of-sight (NLoS) conditions is still an open research topic. I…
Representation LearningReal-time NLOS/LOS Identification for Smartphone-based Indoor Positioning System using WiFi RTT and RSS
The accuracy of smartphone-based positioning methods using WiFi usually suffers from ranging errors caused by non-line-of-sight (NLOS) conditions. Previous research usually exploits several statistical features from a lo…
Time SeriesTime Series Analysis