Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA

• DOI: 10.48550/arxiv.2402.10515
• Publication Date: 2024-02-16
• Authors: Sagnik Bhattacharya; Junyoung Choi; Joohyun Lee
• Keywords: Wideband

Among the various Ultra-wideband (UWB) ranging methods, absence of uplink communication or centralized computation makes downlink time-difference-of-arrival (DL-TDOA) localization most suitable for large-scale industrial deployments. However, temporary permanent obstacles in deployment region often lead to non-line-of-sight (NLOS) channel path and signal outage effects, which result errors. Prior research has addressed this problem by increasing frequency, leads a heavy increase user device power consumption. It also does not contribute any accuracy under line-of-sight (LOS) conditions. In paper, we propose implement novel low-power channel-aware dynamic frequency DL-TDOA algorithm. comprises NLOS probability predictor based on convolutional neural network (CNN), control module, an IMU sensor-based filter. Based conducted experiments, show that proposed algorithm achieves 50% higher conditions while having 46% lower consumption LOS compared baseline methods from prior research.