Blind Carrier Frequency Offset Estimation Based on Particle Swarm Optimization Searching for Interleaved OFDMA Uplink
Summary :
In this letter, standard particle swarm optimization (PSO) with the center-symmetric trimmed correlation matrix and the orthogonal projection technique is firstly presented for blind carrier frequency offset estimation under interleaved orthogonal frequency division multiple access (OFDMA) uplink systems. It doesn't require eigenvalue decomposition and only needs a single OFDMA data block. Second, this letter also presents adaptive multiple inertia weights with Newton method to speed up the convergence of standard PSO iteration process. Meanwhile, the advantage of inherent interleaved OFDMA signal structure also is exploited to conquer the problems of local optimization and the effect of ambiguous peaks for the proposed approaches. Finally, several simulation results are provided for illustration and comparison.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.9 pp.1740-1744
- Publication Date
- 2016/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.1740
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Ann-Chen CHANG
Ling Tung University
Chih-Chang SHEN
Ling Tung University
Keyword
Latest Issue
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Ann-Chen CHANG, Chih-Chang SHEN, "Blind Carrier Frequency Offset Estimation Based on Particle Swarm Optimization Searching for Interleaved OFDMA Uplink" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 9, pp. 1740-1744, September 2016, doi: 10.1587/transfun.E99.A.1740.
Abstract: In this letter, standard particle swarm optimization (PSO) with the center-symmetric trimmed correlation matrix and the orthogonal projection technique is firstly presented for blind carrier frequency offset estimation under interleaved orthogonal frequency division multiple access (OFDMA) uplink systems. It doesn't require eigenvalue decomposition and only needs a single OFDMA data block. Second, this letter also presents adaptive multiple inertia weights with Newton method to speed up the convergence of standard PSO iteration process. Meanwhile, the advantage of inherent interleaved OFDMA signal structure also is exploited to conquer the problems of local optimization and the effect of ambiguous peaks for the proposed approaches. Finally, several simulation results are provided for illustration and comparison.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1740/_p
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@ARTICLE{e99-a_9_1740,
author={Ann-Chen CHANG, Chih-Chang SHEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Carrier Frequency Offset Estimation Based on Particle Swarm Optimization Searching for Interleaved OFDMA Uplink},
year={2016},
volume={E99-A},
number={9},
pages={1740-1744},
abstract={In this letter, standard particle swarm optimization (PSO) with the center-symmetric trimmed correlation matrix and the orthogonal projection technique is firstly presented for blind carrier frequency offset estimation under interleaved orthogonal frequency division multiple access (OFDMA) uplink systems. It doesn't require eigenvalue decomposition and only needs a single OFDMA data block. Second, this letter also presents adaptive multiple inertia weights with Newton method to speed up the convergence of standard PSO iteration process. Meanwhile, the advantage of inherent interleaved OFDMA signal structure also is exploited to conquer the problems of local optimization and the effect of ambiguous peaks for the proposed approaches. Finally, several simulation results are provided for illustration and comparison.},
keywords={},
doi={10.1587/transfun.E99.A.1740},
ISSN={1745-1337},
month={September},}
Copy
TY - JOUR
TI - Blind Carrier Frequency Offset Estimation Based on Particle Swarm Optimization Searching for Interleaved OFDMA Uplink
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1740
EP - 1744
AU - Ann-Chen CHANG
AU - Chih-Chang SHEN
PY - 2016
DO - 10.1587/transfun.E99.A.1740
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2016
AB - In this letter, standard particle swarm optimization (PSO) with the center-symmetric trimmed correlation matrix and the orthogonal projection technique is firstly presented for blind carrier frequency offset estimation under interleaved orthogonal frequency division multiple access (OFDMA) uplink systems. It doesn't require eigenvalue decomposition and only needs a single OFDMA data block. Second, this letter also presents adaptive multiple inertia weights with Newton method to speed up the convergence of standard PSO iteration process. Meanwhile, the advantage of inherent interleaved OFDMA signal structure also is exploited to conquer the problems of local optimization and the effect of ambiguous peaks for the proposed approaches. Finally, several simulation results are provided for illustration and comparison.
ER -
English
