Gaussian process-based approach for identifying correlation between wireless signals

Abstract

Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes modeling signals of wireless signal emitters. A computing device can determine first and second trained Gaussian processes. The respective first and second Gaussian processes can be based on first and second hyperparameter values related to first and second wireless signal emitters. The computing device can determine first and second sets of comparison hyperparameter values of the respective first and second hyperparameter values, and then determine whether the first and second sets of comparison hyperparameter values are within one or more threshold values. After determining that the first and second sets of comparison hyperparameter values are within the threshold(s), the computing device can determine the first and second Gaussian processes are dependent and then provide an estimated-location output based on a representative Gaussian process based on the first and the second Gaussian processes.