Simultaneous WiFi Ranging Compensation and Localization for Indoor NLoS Environments

Smartphone-based WiFi ranging using fine time measurement (FTM) is severely impacted by Non-line-of-sight (NLoS) environments, which causes significant positioning errors. To address this problem, we propose a novel FTM (WFP) approach based on the geomagnetism and enhanced genetic algorithm (EGA), can simultaneously execute localization compensation. Based distribution of error in NLoS semiparametric model-based compensation method proposed. construct EGA searching model, geomagnetism-based adopted fed to together with measured data method. During online localization, model dynamically compensates for erroneous until it finds optimal position. Experimental results show that accuracy EGA-based WFP are 1.33 m 1.64 m, being an improvement 30.7% 56.5% compared uncompensated trilateration weighted least square (WLS) method, respectively.