Multiuser TOA Estimation Algorithm in DS-CDMA Sparse Channel for Radiolocation
Summary :
This letter considers multiuser time delay estimation in a sparse channel environment for radiolocation. The generalized successive interference cancellation (GSIC) algorithm is used to eliminate the multiple access interference (MAI). To adapt GSIC to sparse channels the alternating maximization (AM) algorithm is considered, and the continuous time delay of each path is estimated without requiring a priori known data sequences.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.2 pp.618-621
- Publication Date
- 2008/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.2.618
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Sunwoo KIM, "Multiuser TOA Estimation Algorithm in DS-CDMA Sparse Channel for Radiolocation" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 2, pp. 618-621, February 2008, doi: 10.1093/ietcom/e91-b.2.618.
Abstract: This letter considers multiuser time delay estimation in a sparse channel environment for radiolocation. The generalized successive interference cancellation (GSIC) algorithm is used to eliminate the multiple access interference (MAI). To adapt GSIC to sparse channels the alternating maximization (AM) algorithm is considered, and the continuous time delay of each path is estimated without requiring a priori known data sequences.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.2.618/_p
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@ARTICLE{e91-b_2_618,
author={Sunwoo KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Multiuser TOA Estimation Algorithm in DS-CDMA Sparse Channel for Radiolocation},
year={2008},
volume={E91-B},
number={2},
pages={618-621},
abstract={This letter considers multiuser time delay estimation in a sparse channel environment for radiolocation. The generalized successive interference cancellation (GSIC) algorithm is used to eliminate the multiple access interference (MAI). To adapt GSIC to sparse channels the alternating maximization (AM) algorithm is considered, and the continuous time delay of each path is estimated without requiring a priori known data sequences.},
keywords={},
doi={10.1093/ietcom/e91-b.2.618},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Multiuser TOA Estimation Algorithm in DS-CDMA Sparse Channel for Radiolocation
T2 - IEICE TRANSACTIONS on Communications
SP - 618
EP - 621
AU - Sunwoo KIM
PY - 2008
DO - 10.1093/ietcom/e91-b.2.618
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2008
AB - This letter considers multiuser time delay estimation in a sparse channel environment for radiolocation. The generalized successive interference cancellation (GSIC) algorithm is used to eliminate the multiple access interference (MAI). To adapt GSIC to sparse channels the alternating maximization (AM) algorithm is considered, and the continuous time delay of each path is estimated without requiring a priori known data sequences.
ER -
English
