US 9,810,762 B2
Calculating mean wireless signal strengths using a gaussian process approach incorporating predictive standard deviations
Brian John Julian, Cupertino, CA (US)
Assigned to Google Inc., Mountain View, CA (US)
Filed by Google Inc., Mountain View, CA (US)
Filed on Sep. 2, 2015, as Appl. No. 14/843,941.
Claims priority of provisional application 62/049,247, filed on Sep. 11, 2014.
Prior Publication US 2016/0077190 A1, Mar. 17, 2016
Int. Cl. G01S 5/02 (2010.01)
CPC G01S 5/0278 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
determining by a computing device a plurality of measurement bins, wherein a particular measurement bin of the plurality of measurement bins is associated with one or more wireless signal emitters, and wherein the particular measurement bin comprises a mean signal strength value and a standard deviation of signal strength values for each wireless signal emitter of the one or more wireless signal emitters associated with the particular measurement bin;
determining by the computing device a designated wireless signal emitter;
determining by the computing device a collection of measurement bins of the plurality of measurement bins, wherein a particular measurement bin in the collection of measurement bins is associated with the designated wireless signal emitter;
training by the computing device a mean Gaussian process to model signals emitted by the designated wireless signal emitter based on the mean signal strength values of the collection of measurement bins and the standard deviation of signal strength values of the collection of measurement bins, wherein the mean Gaussian process is associated with a covariance matrix, and wherein a particular diagonal entry of the covariance matrix is based upon a standard deviation of signal strength values of a corresponding measurement bin in the collection of measurement bins; and
providing by the computing device an estimated location based on the trained mean Gaussian process.