US 12,265,167 B2
Wireless receive signal strength indicator (RSSI)-based positioning
Tianwei Xing, Santa Clara, CA (US); Wenjun Jiang, San Jose, CA (US); and Xun Chen, Fremont, CA (US)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Sep. 8, 2022, as Appl. No. 17/930,644.
Claims priority of provisional application 63/355,964, filed on Jun. 27, 2022.
Prior Publication US 2023/0417862 A1, Dec. 28, 2023
Int. Cl. G01S 5/02 (2010.01); H04W 64/00 (2009.01)
CPC G01S 5/02521 (2020.05) [H04W 64/003 (2013.01)] 26 Claims
OG exemplary drawing
 
1. A method comprising:
receiving wireless fingerprint data associated with a specified area, the wireless fingerprint data identifying (i) multiple locations within the specified area and (ii) for each location, one or more signal strength values associated with wireless signals received at the location from one or more of multiple wireless transmitters, wherein the wireless fingerprint data is missing signal strength values for one or more of the wireless transmitters at one or more specific locations within the specified area;
generating a first training dataset by adding filler signal strength values in place of at least some of the signal strength values that are missing from the wireless fingerprint data;
training a first machine learning model using the first training dataset, the first machine learning model trained to receive a specified location as input and generate predicted signal strength values as outputs; and
using the trained first machine learning model to generate additional signal strength values, at least some of the additional signal strength values to be used in place of at least a portion of the signal strength values that are missing from the wireless fingerprint data.