IEICE TRANSACTIONS on Fundamentals
Multipath Time Delay Estimation Based on Gibbs Sampling under Incoherent Reception Environment
Summary :
In the traditional time delay estimation methods, it is usually implicitly assumed that the observed signals are either only direct path propagate or coherently received. In practice, the multipath propagation and incoherent reception always exist simultaneously. In response to this situation, the joint maximum likelihood (ML) estimation of multipath delays and system error is proposed, and the estimation of the number of multipath is considered as well for the specific incoherent signal model. Furthermore, an algorithm based Gibbs sampling is developed to solve the multi-dimensional nonlinear ML estimation. The efficiency of the proposed estimator is demonstrated by simulation results.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.6 pp.1300-1304
- Publication Date
- 2015/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.1300
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Sen ZHONG
University of Electronic Science and Technology of China
Wei XIA
University of Electronic Science and Technology of China
Zishu HE
University of Electronic Science and Technology of China
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
Sen ZHONG, Wei XIA, Zishu HE, "Multipath Time Delay Estimation Based on Gibbs Sampling under Incoherent Reception Environment" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 6, pp. 1300-1304, June 2015, doi: 10.1587/transfun.E98.A.1300.
Abstract: In the traditional time delay estimation methods, it is usually implicitly assumed that the observed signals are either only direct path propagate or coherently received. In practice, the multipath propagation and incoherent reception always exist simultaneously. In response to this situation, the joint maximum likelihood (ML) estimation of multipath delays and system error is proposed, and the estimation of the number of multipath is considered as well for the specific incoherent signal model. Furthermore, an algorithm based Gibbs sampling is developed to solve the multi-dimensional nonlinear ML estimation. The efficiency of the proposed estimator is demonstrated by simulation results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1300/_p
Copy
@ARTICLE{e98-a_6_1300,
author={Sen ZHONG, Wei XIA, Zishu HE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multipath Time Delay Estimation Based on Gibbs Sampling under Incoherent Reception Environment},
year={2015},
volume={E98-A},
number={6},
pages={1300-1304},
abstract={In the traditional time delay estimation methods, it is usually implicitly assumed that the observed signals are either only direct path propagate or coherently received. In practice, the multipath propagation and incoherent reception always exist simultaneously. In response to this situation, the joint maximum likelihood (ML) estimation of multipath delays and system error is proposed, and the estimation of the number of multipath is considered as well for the specific incoherent signal model. Furthermore, an algorithm based Gibbs sampling is developed to solve the multi-dimensional nonlinear ML estimation. The efficiency of the proposed estimator is demonstrated by simulation results.},
keywords={},
doi={10.1587/transfun.E98.A.1300},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - Multipath Time Delay Estimation Based on Gibbs Sampling under Incoherent Reception Environment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1300
EP - 1304
AU - Sen ZHONG
AU - Wei XIA
AU - Zishu HE
PY - 2015
DO - 10.1587/transfun.E98.A.1300
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2015
AB - In the traditional time delay estimation methods, it is usually implicitly assumed that the observed signals are either only direct path propagate or coherently received. In practice, the multipath propagation and incoherent reception always exist simultaneously. In response to this situation, the joint maximum likelihood (ML) estimation of multipath delays and system error is proposed, and the estimation of the number of multipath is considered as well for the specific incoherent signal model. Furthermore, an algorithm based Gibbs sampling is developed to solve the multi-dimensional nonlinear ML estimation. The efficiency of the proposed estimator is demonstrated by simulation results.
ER -
English
