IEICE TRANSACTIONS on Fundamentals
Training Convergence in Range-Based Cooperative Positioning with Stochastic Positional Knowledge
Summary :
This letter investigates the training convergence in range-based cooperative positioning with stochastic positional knowledge. Firstly, a closed-form of squared position-error bound (SPEB) is derived with error-free ranging. Using the derived closed-form, it is proved that the SPEB reaches its minimum when at least 2 out of N (> 2) agents send training sequences. Finally, numerical results are provided to elaborate the theoretical analysis with zero-mean Gaussian ranging errors.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.7 pp.1200-1204
- Publication Date
- 2012/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.1200
- Type of Manuscript
- LETTER
- Category
- Information Theory
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Ziming HE, Yi MA, Rahim TAFAZOLLI, "Training Convergence in Range-Based Cooperative Positioning with Stochastic Positional Knowledge" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 7, pp. 1200-1204, July 2012, doi: 10.1587/transfun.E95.A.1200.
Abstract: This letter investigates the training convergence in range-based cooperative positioning with stochastic positional knowledge. Firstly, a closed-form of squared position-error bound (SPEB) is derived with error-free ranging. Using the derived closed-form, it is proved that the SPEB reaches its minimum when at least 2 out of N (> 2) agents send training sequences. Finally, numerical results are provided to elaborate the theoretical analysis with zero-mean Gaussian ranging errors.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1200/_p
Copy
@ARTICLE{e95-a_7_1200,
author={Ziming HE, Yi MA, Rahim TAFAZOLLI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Training Convergence in Range-Based Cooperative Positioning with Stochastic Positional Knowledge},
year={2012},
volume={E95-A},
number={7},
pages={1200-1204},
abstract={This letter investigates the training convergence in range-based cooperative positioning with stochastic positional knowledge. Firstly, a closed-form of squared position-error bound (SPEB) is derived with error-free ranging. Using the derived closed-form, it is proved that the SPEB reaches its minimum when at least 2 out of N (> 2) agents send training sequences. Finally, numerical results are provided to elaborate the theoretical analysis with zero-mean Gaussian ranging errors.},
keywords={},
doi={10.1587/transfun.E95.A.1200},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - Training Convergence in Range-Based Cooperative Positioning with Stochastic Positional Knowledge
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1200
EP - 1204
AU - Ziming HE
AU - Yi MA
AU - Rahim TAFAZOLLI
PY - 2012
DO - 10.1587/transfun.E95.A.1200
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2012
AB - This letter investigates the training convergence in range-based cooperative positioning with stochastic positional knowledge. Firstly, a closed-form of squared position-error bound (SPEB) is derived with error-free ranging. Using the derived closed-form, it is proved that the SPEB reaches its minimum when at least 2 out of N (> 2) agents send training sequences. Finally, numerical results are provided to elaborate the theoretical analysis with zero-mean Gaussian ranging errors.
ER -
English
