Probabilistic estimation for object localization systems

Abstract

The present disclosure provides a method for locating objects within a master space using a probabilistic estimation technique. The method comprises positioning RF beacons within the master space, each transmitting RF signals with unique identifiers. RF signals are received at an RF tag associated with an object to be located, where the RF tag measures received signal strength indicator (RSSI) values. A tag data package containing the measured RSSI values and corresponding beacon identifiers is transmitted from the RF tag to an object location system. The probabilistic estimation technique is applied to determine a likelihood function representing probability of the object's location given the measured RF signal characteristics. The likelihood function is maximized or optimized to estimate coordinates of the object within the master space, and the estimated coordinates are output as a location prediction. In some embodiments, the probabilistic estimation technique comprises Maximum Likelihood Estimation (MLE).

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