Patent ID: 9720069
Date: 2017-08-01
CPC Classifications: G01S

Claim:
1. A method of measuring a location of a user equipment (UE) located indoors in a wireless network, the method comprising: receiving signals transmitted by a plurality of access points (APs); performing training for machine learning using the received signals or information acquired from the received signals; setting a weight vector to be applied to a relevance vector machine (RVM) regression using data subjected to the training for machine learning; applying the RVM regression to the set weight vector and measured strengths of the received signals; determining whether the signals received from the plurality of APs are line of sight (LOS) signals or non-line of sight (NLOS) signals based on the set weight vector applied to the RVM regression and the measured strengths of the received signals applied to the RVM regression; measuring an indoor location of the UE based on the signals transmitted by the plurality of APs when a number of APs transmitting the signals is equal to or greater than three, wherein whether to exclude the determined NLOS signals or apply a weight to the determined NLOS signals for measuring the indoor location of the UE is determined based on a number of APs transmitting the LOS signals; and measuring the indoor location of the UE based on the signals transmitted by the plurality of APs and position information of other UEs when the number of APs transmitting signal is less than three.