US 12,298,420 B2
Method and system of error modelling for object localization using ultra wide band (UWB) sensors
Avik Ghose, Kolkata (IN); Chirabrata Bhaumik, Kolkata (IN); Tapas Chakravarty, Kolkata (IN); and Amit Swain, Kolkata (IN)
Assigned to Tata Consultancy Services Limited, Mumbai (IN)
Filed by Tata Consultancy Services Limited, Mumbai (IN)
Filed on Sep. 29, 2022, as Appl. No. 17/956,006.
Claims priority of application No. 202121046581 (IN), filed on Oct. 12, 2021.
Prior Publication US 2023/0115981 A1, Apr. 13, 2023
Int. Cl. G01S 5/02 (2010.01); H04W 64/00 (2009.01)
CPC G01S 5/0284 (2013.01) [H04W 64/003 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A processor implemented method for location tracking, comprising:
obtaining distance value of a tag node with reference to position of a plurality of anchor nodes, by an edge node implemented via one or more hardware processors, wherein the tag node is associated with an object being tracked;
determining location (X, Y) of the object in a 2-Dimensional space, based on the obtained distance value of the tag node with reference to the position of the plurality of anchor nodes, by the edge node; and correcting the determined location (X, Y) of the object to obtain a corrected location (X′, Y′), by the edge node, comprising:
calculating a moving average for the determined location (X, Y) over a one second time span; and
applying a multivariate model over the calculated moving average and a corresponding ground truth location, wherein applying a multivariate model comprises:
computing an error function by calculating a Euclidian distance between the determined location and the ground truth location;
determining an argument of the minimum for the error function by applying an argmin function over the computed error function; and
applying values of a bias, a scale factor, and an interaxial factor on the calculated moving average, wherein the values of the bias, the scale factor, and the interaxial factor are computed based on the determined argument of the minimum of the error function.