Abstract: The present disclosure generally discloses an autonomous localization capability configured to determine the localization of a mobile device of a wireless communication network based on a sequence of observations reported by the mobile device and a model that represents the motion and observations of mobile devices of the wireless communication network. The model that represents the motion and observations of the mobile devices may be a Hidden Markov Model (HMM) constructed based on use of localization information to define the hidden states of the and use of signal strength measurement reporting information to define possible observations. The localization problem for determining a localization of a given mobile device then becomes a maximum a posterior problem represented by the HMM, which may be solved using a particle filter based localization algorithm using localization probability distribution information which may be determined based on signal strength measurement reporting information.

Abstract: The present disclosure generally discloses an autonomous localization capability configured to determine the localization of a mobile device of a wireless communication network based on a sequence of observations reported by the mobile device and a model that represents the motion and observations of mobile devices of the wireless communication network. The model that represents the motion and observations of the mobile devices may be a Hidden Markov Model (HMM) constructed based on use of localization information to define the hidden states of the and use of signal strength measurement reporting information to define possible observations. The localization problem for determining a localization of a given mobile device then becomes a maximum a posterior problem represented by the HMM, which may be solved using a particle filter based localization algorithm using localization probability distribution information which may be determined based on signal strength measurement reporting information.