US 11,856,549 B2
Fingerprint data pre-process method for improving localization model
Masayuki Murata, Tokyo (JP); and Daisuke Sato, Chiba-ken (JP)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Apr. 28, 2021, as Appl. No. 17/242,741.
Application 17/242,741 is a division of application No. 15/819,322, filed on Nov. 21, 2017, granted, now 11,039,414.
Prior Publication US 2021/0250891 A1, Aug. 12, 2021
Int. Cl. H04W 64/00 (2009.01); G01S 5/02 (2010.01)
CPC H04W 64/00 (2013.01) [G01S 5/021 (2013.01); G01S 5/02527 (2020.05)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
acquiring a received signal strength distribution that includes a received signal strength of a wireless signal of a mobile computing device at each of a plurality of positions;
generating a received signal strength distribution in which a distribution of the plurality of positions included in the received signal strength distribution have been made uniform, by iteratively extracting, by importance sampling, each received signal strength corresponding to a sequentially changing number of observation positions among the plurality of positions from the received signal strength distribution, the generating further comprising selecting, using combinatorial optimization, a plurality of the plurality of positions such that an index value indicating non-uniformity is smallest; and
correcting, for each observation timing of the each received signal strength, each respective position of the mobile computing device from the plurality of positions included in the received signal strength distribution.