Abstract | ||
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In this paper we develop a continuous high-precision tracking system based on Received Signal Strength Indicator(RSSI) measurements for small ranges. The proposed system uses minimal number of sensor nodes with RSSI capabilities to track a moving object in close-proximity and high transmission rate. The close-proximity enables conversion of RSSI measurements to range estimates and the high transmission rate enables continuous tracking of the moving object. The RSSI-based tracking system includes calibration, range estimation, location estimation and refinement. We use advanced statistical and signal processing methods to mitigate channel distortion and packet loss. The system is evaluated in indoor settings and achieves tracking resolution of few centimeters. Therefore, it becomes the motion trackers of notice in many applications. |
Year | DOI | Venue |
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2010 | 10.1109/BSN.2010.36 | BSN |
Keywords | Field | DocType |
small range,rssi measurement,rssi capability,location estimation,high transmission rate,continuous tracking,continuous close-proximity rssi-based tracking,range estimation,proposed system,rssi-based tracking system,wireless sensor networks,continuous high-precision tracking system,accelerometers,tracking system,packet loss,motion estimation,signal processing,acceleration,gyroscopes,mobile communication,calibration,estimation,wireless sensor network,measurement units,vectors,tracking | Signal processing,Computer vision,Computer science,Accelerometer,Packet loss,Tracking system,Communication channel,Artificial intelligence,Motion estimation,Wireless sensor network,Distortion,Embedded system | Conference |
Citations | PageRank | References |
4 | 0.42 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gaddi Blumrosen | 1 | 42 | 5.41 |
Bracha Hod | 2 | 53 | 3.27 |
Tal Anker | 3 | 112 | 13.51 |
Danny Dolev | 4 | 6925 | 1305.43 |
B. Rubinsky | 5 | 123 | 26.81 |