Development and Experimentation of a Real-Time Greenhouse Positioning System Based on IUKF-UWB
Year: 2024
Type: article
Abstract: To mitigate the challenges posed by the confined spatial environment of greenhouses and various obstacles that frequently cause non-line-of-sight (NLOS) communication issues in ultra-wideband (UWB) localization systems, leading to localization difficulties and low accuracy, we propose a real-time greenhouse localization system that recognizes UWB ranging values prior to correction. First, the initial ranging value is obtained through double-sided two-way ranging (DS-TWR). Subsequently, a communication state identifier is designed based on the residual distribution of ranging values across two UWB communication modes. A correction model is then established by analyzing the causes of ranging value deviations. Finally, the NLOS localization deviation is corrected using an improved unscented Kalman filter (IUKF) algorithm. Experimental results in the greenhouse environment demonstrate that the proposed algorithm enhances positioning accuracy by 68% compared to the uncorrected localization method, offering a valuable reference for localization services in greenhouse settings.
Source: Agriculture
Authors: Minghua Li, Hongyan Gao, Mingxue Zhao, Hanping Mao
Institutions: Xinjiang Agricultural University, Jiangsu University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,955
Award: G66720820
OpenAlex ID: W4402054744