A big data-based RF localisation method for unmanned search and rescue
by Ju Wang; Hongzhe Liu; Hong Bao; Cesar Flores Montoya; James Hinton
International Journal of Big Data Intelligence (IJBDI), Vol. 5, No. 1/2, 2018

Abstract: Autonomous mobile robots require efficient big-data methods to process a large amount of real-time sensory data to perform a task. We investigate a novel RF sensing-based method for target localisation where a large set of sensor data are mined to produce meaningful location information of a target device. The estimated location of the target is further used by the navigation algorithm to execute a movement plan. Using the networked RF beacon data, the proposed big data approach alleviates the problem of noisy RF measurements in location estimation. A particle filter algorithm is used to track the location of target node. The algorithm demonstrates a beyond-the-grid accuracy even only a coarse RF map is used.

Online publication date: Fri, 01-Dec-2017

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