IEICE TRANSACTIONS on Communications
Iterative Joint Correlation Interval Selection and Doppler Spread Estimation
Summary :
In this paper, the relationship between correlation interval (CI) and estimate is investigated. Then a special correlation interval is explored that is adaptive to all levels of signal-to-noise ratio (SNR) and velocity conditions, and the mean square error is deduced. Finally, we propose an iterative algorithm that achieves the special correlation interval and calculates the Doppler spread by increasing the resolution on time-domain iteratively. Simulation results show that compared with conventional schemes, performance of the proposed algorithm is basically independent of velocity variation and less sensitive to SNR, especially in low SNR environments. It achieves high accurate estimation directly without any post-rectification.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E89-B No.11 pp.3156-3159
- Publication Date
- 2006/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e89-b.11.3156
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Peng ZHANG, Xiaodong XU, Guangguo BI, Xiuying CAO, Junhui ZHAO, "Iterative Joint Correlation Interval Selection and Doppler Spread Estimation" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 11, pp. 3156-3159, November 2006, doi: 10.1093/ietcom/e89-b.11.3156.
Abstract: In this paper, the relationship between correlation interval (CI) and estimate is investigated. Then a special correlation interval is explored that is adaptive to all levels of signal-to-noise ratio (SNR) and velocity conditions, and the mean square error is deduced. Finally, we propose an iterative algorithm that achieves the special correlation interval and calculates the Doppler spread by increasing the resolution on time-domain iteratively. Simulation results show that compared with conventional schemes, performance of the proposed algorithm is basically independent of velocity variation and less sensitive to SNR, especially in low SNR environments. It achieves high accurate estimation directly without any post-rectification.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.11.3156/_p
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@ARTICLE{e89-b_11_3156,
author={Peng ZHANG, Xiaodong XU, Guangguo BI, Xiuying CAO, Junhui ZHAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Iterative Joint Correlation Interval Selection and Doppler Spread Estimation},
year={2006},
volume={E89-B},
number={11},
pages={3156-3159},
abstract={In this paper, the relationship between correlation interval (CI) and estimate is investigated. Then a special correlation interval is explored that is adaptive to all levels of signal-to-noise ratio (SNR) and velocity conditions, and the mean square error is deduced. Finally, we propose an iterative algorithm that achieves the special correlation interval and calculates the Doppler spread by increasing the resolution on time-domain iteratively. Simulation results show that compared with conventional schemes, performance of the proposed algorithm is basically independent of velocity variation and less sensitive to SNR, especially in low SNR environments. It achieves high accurate estimation directly without any post-rectification.},
keywords={},
doi={10.1093/ietcom/e89-b.11.3156},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Iterative Joint Correlation Interval Selection and Doppler Spread Estimation
T2 - IEICE TRANSACTIONS on Communications
SP - 3156
EP - 3159
AU - Peng ZHANG
AU - Xiaodong XU
AU - Guangguo BI
AU - Xiuying CAO
AU - Junhui ZHAO
PY - 2006
DO - 10.1093/ietcom/e89-b.11.3156
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2006
AB - In this paper, the relationship between correlation interval (CI) and estimate is investigated. Then a special correlation interval is explored that is adaptive to all levels of signal-to-noise ratio (SNR) and velocity conditions, and the mean square error is deduced. Finally, we propose an iterative algorithm that achieves the special correlation interval and calculates the Doppler spread by increasing the resolution on time-domain iteratively. Simulation results show that compared with conventional schemes, performance of the proposed algorithm is basically independent of velocity variation and less sensitive to SNR, especially in low SNR environments. It achieves high accurate estimation directly without any post-rectification.
ER -
English
