Abstract | ||
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This letter presents an extended Kalman filtering algorithm for position tracking with a radio map consisting of received signal strength (RSS) observations by a single device at known positions. The proposed algorithm is based on a time-varying RSS model, introduced in this letter, to track the position of a device and the RSS variation arising from device heterogeneity and environmental changes.... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/LWC.2016.2601095 | IEEE Wireless Communications Letters |
Keywords | Field | DocType |
Covariance matrices,Kalman filters,Bayes methods,Target tracking,Correlation,Position measurement,Estimation | Mathematical optimization,Spatial correlation,Kalman filtering algorithm,Control theory,Radio map,Algorithm,Kalman filter,Signal strength,RSS,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 5 | 2162-2337 |
Citations | PageRank | References |
2 | 0.39 | 8 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sangwoo Lee | 1 | 42 | 4.85 |
Sang Won Choi | 2 | 56 | 9.67 |
Christos Laoudias | 3 | 356 | 21.90 |
Sunwoo Kim | 4 | 66 | 11.00 |