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Frontiers in Signal Processing
FSP > Volume 5, Number 3, July 2021

Optimization of Indoor Bluetooth Ranging Model Based on RSSI

Download PDF  (176.1 KB)PP. 45-51,  Pub. Date:August 6, 2021
DOI: 10.22606/fsp.2021.53001

Author(s)
Demei Peng, Liangfu Peng, Yingying Yang
Affiliation(s)
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610041, China
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610041, China
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610041, China
Abstract
Because the received signal strength indication (RSSI) ranging technology has problems with line-of-sight and multipath effects in indoor environments, the actual received RSSI value is unstable. In order to reduce the influence of RSSI value volatility on ranging accuracy, according to the fluctuation characteristics of the signal itself, a combined filtering method of Gaussian, median and mean is proposed to process the collected RSSI values, and the least squares method is used to fit and optimize the ranging parameter. Experiments show that using the RSSI intensity value processed by the combined filtering method to establish a model to achieve ranging, the maximum absolute error is about 2 m, and the absolute average error is about 0.763 m. The accuracy of the ranging has been significantly improved, and the ranging model has been optimized.
Keywords
RSSI, ranging model, least square method, combined filtering
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