Abstract: Smartphone positioning is an enabling technology used to create new business

in the navigation and mobile location-based services (LBS) industries. This paper presents

a smartphone indoor positioning engine named HIPE that can be easily integrated with

mobile LBS. HIPE is a hybrid solution that fuses measurements of smartphone sensors

with wireless signals. The smartphone sensors are used to measure the user’s motion

dynamics information (MDI), which represent the spatial correlation of various locations.

Two algorithms based on hidden Markov model (HMM) problems, the grid-based filter

and the Viterbi algorithm, are used in this paper as the central processor for data fusion to

resolve the position estimates, and these algorithms are applicable for different

applications, e.g., real-time navigation and location tracking, respectively.