Advanced search
1 file | 474.18 KB

Magnitude of the distance estimation bias in received signal strength visible light positioning

(2018) IEEE COMMUNICATIONS LETTERS. 22(11). p.2250-2253
Author
Organization
Abstract
In several works, statistical precision of distance estimators in visible light positioning was studied by evaluating the Cramer-Rao lower bound, assuming that the estimator is unbiased. Here, it is demonstrated that the maximum likelihood estimator of the distance is not unbiased. Consequently, the inverse of the Fisher information value is no longer a strict lower bound. We evaluate this bias for several illumination levels and it is found that the impact is very small. For many practical situations, the inverse of the Fisher information can serve as the approximation for the mean-squared error of the maximum likelihood estimator of the distance.
Keywords
SYSTEMS, COMMUNICATION, CHALLENGES, ACCURACY, Visible light positioning, maximum likelihood estimator, Fisher, information value

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 474.18 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Stevens, Nobby, and Heidi Steendam. 2018. “Magnitude of the Distance Estimation Bias in Received Signal Strength Visible Light Positioning.” Ieee Communications Letters 22 (11): 2250–2253.
APA
Stevens, N., & Steendam, H. (2018). Magnitude of the distance estimation bias in received signal strength visible light positioning. IEEE COMMUNICATIONS LETTERS, 22(11), 2250–2253.
Vancouver
1.
Stevens N, Steendam H. Magnitude of the distance estimation bias in received signal strength visible light positioning. IEEE COMMUNICATIONS LETTERS. Piscataway: Ieee-inst Electrical Electronics Engineers Inc; 2018;22(11):2250–3.
MLA
Stevens, Nobby, and Heidi Steendam. “Magnitude of the Distance Estimation Bias in Received Signal Strength Visible Light Positioning.” IEEE COMMUNICATIONS LETTERS 22.11 (2018): 2250–2253. Print.
@article{8591723,
  abstract     = {In several works, statistical precision of distance estimators in visible light positioning was studied by evaluating the Cramer-Rao lower bound, assuming that the estimator is unbiased. Here, it is demonstrated that the maximum likelihood estimator of the distance is not unbiased. Consequently, the inverse of the Fisher information value is no longer a strict lower bound. We evaluate this bias for several illumination levels and it is found that the impact is very small. For many practical situations, the inverse of the Fisher information can serve as the approximation for the mean-squared error of the maximum likelihood estimator of the distance.},
  author       = {Stevens, Nobby and Steendam, Heidi},
  issn         = {1089-7798},
  journal      = {IEEE COMMUNICATIONS LETTERS},
  language     = {eng},
  number       = {11},
  pages        = {2250--2253},
  publisher    = {Ieee-inst Electrical Electronics Engineers Inc},
  title        = {Magnitude of the distance estimation bias in received signal strength visible light positioning},
  url          = {http://dx.doi.org/10.1109/LCOMM.2018.2867026},
  volume       = {22},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: