Research Article
A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network
1: fordo | 2: obtain distance measurement . | 3: Calculate curve and by polynomial fitting using Eq. (14) and Eq. (15). | 4: Obtain distance prediction using Eq. (16). | 5: NLOS detection by hypothesis test using Eq. (18). | 6: Adjusted Kalman Filter using Eq. (19) and Eq. (20). | 7: Kalman prediction using Eq. (21) and Eq. (22). | 8: Kalman update using Eq. (26) and Eq. (27). | 9: if NLOS detected then | 10: calculate weighted state estimation by weighting filter using Eq. (29). | 11: end if | 12: obtain distance estimation by combination using Eq. (28). | 13: calculate coordinate estimation by maximum likelihood localization using Eq. (34). | 14: end for |
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