Name
Abstract | ||
|---|---|---|
The problem of Doppler-based target position and velocity estimation using a sensor network is outlined. The minimum number of Doppler-shift measurements at distinct generic sensor positions in order to have a finite number of solutions, and later, a unique solution for the unknown target position and velocity are stated analytically. Furthermore we study the same problem, where not only Doppler-shift measurements are collected, but also other types of measurements are available, e.g,. bearing or distance to the target from each of the sensors. Later we study the Cramer-Rao inequality associated with the Doppler-shift measurements to a target in a sensor network, and we use the Cramer-Rao bound to illustrate some results on optimal placements of the sensors when the goal is to estimate the velocity of the target. Some simulation results are presented at the end. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TAES.2013.6404102 | IEEE Trans. Aerospace and Electronic Systems |
Keywords | Field | DocType |
doppler measurement,doppler shift,object detection,sensor placement,target tracking,velocity,cramer-rao bound,cramer-rao inequality,doppler shift target localization,doppler-based target position,doppler-shift measurement,generic sensor position,optimal sensor placement,sensor network,velocity estimation,signal processing,robotics | Object detection,Signal processing,Finite set,Control theory,Electronic engineering,Bearing (mechanical),Artificial intelligence,Doppler effect,Wireless sensor network,Mathematics,Velocity estimation,Robotics | Journal |
Volume | Issue | ISSN |
49 | 1 | 0018-9251 |
Citations | PageRank | References |
18 | 0.93 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. Shames | 1 | 118 | 8.51 |
| Bishop, A.N. | 2 | 18 | 0.93 |
| Smith, M. | 3 | 23 | 1.66 |
| B. D. O. Anderson | 4 | 532 | 108.44 |