@InProceedings{7362369,
  author = {N. H. Nguyen and K. Doğangay},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {Optimal sensor-target geometries for Doppler-shift target localization},
  year = {2015},
  pages = {180-184},
  abstract = {Doppler-shift target localization has recently attracted renewed interest due to its wide range of applications. In this paper we analyze the optimal sensor-target geometries for the Doppler-shift target localization problem where the position and velocity of a moving target are estimated from Doppler-shift measurements taken at stationary sensors. The analysis is based on minimizing the estimation uncertainty, which is equivalent to maximizing the determinant of the Fisher information matrix. In particular, the optimal geometries that maximize the estimation accuracy for target position only, velocity only, and both position and velocity, are investigated. The analytical findings are verified by numerical examples.},
  keywords = {Doppler shift;sensor placement;target tracking;optimal sensor-target geometry;Doppler-shift target localization;Doppler shift measurement;stationary sensor;estimation uncertainty;Fisher information matrix;Sensors;Geometry;Estimation;Velocity measurement;Europe;Signal processing;Position measurement;Optimal sensor placement;Doppler-shift measurement;localization;Fisher information matrix},
  doi = {10.1109/EUSIPCO.2015.7362369},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570103819.pdf},
}

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Nguyen and K. Doğangay},\n booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},\n title = {Optimal sensor-target geometries for Doppler-shift target localization},\n year = {2015},\n pages = {180-184},\n abstract = {Doppler-shift target localization has recently attracted renewed interest due to its wide range of applications. In this paper we analyze the optimal sensor-target geometries for the Doppler-shift target localization problem where the position and velocity of a moving target are estimated from Doppler-shift measurements taken at stationary sensors. The analysis is based on minimizing the estimation uncertainty, which is equivalent to maximizing the determinant of the Fisher information matrix. In particular, the optimal geometries that maximize the estimation accuracy for target position only, velocity only, and both position and velocity, are investigated. 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