We introduce a statistical technique of inferring the position of RFID tags by means of computation on multiple data streams from distributed RFID receivers. Using a single statistical model that describes the detection rate between tags and receivers, we are able to perform Bayesian inference on the positions of the observed tags. If permitted by the receivers, our method can optimally coordinate the signal strength of multiple receivers to improve the time response of our positional inference system.
['Ying Zhu', 'William Howard', 'Ken Q. Pu']
Spatial Inference Using Networks of RFID Receiver: A Bayesian Approach