Indoor Location Estimation and Tracking in Wireless Sensor Networks using a Dual Frequency Approach

This paper 1 addresses the problem of indoor lo- calization by using wireless sensor networks. The sensor nodes are equipped with two RF front-ends operating at 433MHz and 2.4GHz, respectively. A location estimation and tracking algo- rithm that exploits the different channel propagation character- istics at the two frequencies is proposed. The ranges are estimated based on received signal strength indicator (RSSI) and path-loss models at both frequencies. The location is calculated by using ordinal multi-dimensional scaling (OMDS). The instantaneous estimates are filtered by using a Kalman filter (KF) together w ith a simple motion model. The algorithm performance is tested by using real-world measurement data. I. I NTRODUCTION

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