IEICE TRANSACTIONS on Fundamentals
Training Symbol Design for Channel Estimation and IQ Imbalance Compensation in OFDM Systems
Summary :
In this paper, training symbol designs for estimation of frequency selective channels and compensation of in-phase (I) and quadrature (Q) imbalances on orthogonal frequency division multiplexing (OFDM) transmitters and receivers are studied. We utilize cross entropy (CE) optimization techniques together with convex optimization to design training sequences having low channel estimate mean squared error (MSE) and minimum effects of I/Q mismatch, while lowering the peak power of the training signals. The proposed design provides better channel estimate MSE and bit error rate (BER) performances and is applicable to OFDM systems with and without null subcarriers. The efficacies of the proposed designs are corroborated by analysis and simulation results.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.11 pp.1963-1970
- Publication Date
- 2012/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.1963
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Communication Theory and Signals
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Emmanuel MANASSEH, Shuichi OHNO, "Training Symbol Design for Channel Estimation and IQ Imbalance Compensation in OFDM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 11, pp. 1963-1970, November 2012, doi: 10.1587/transfun.E95.A.1963.
Abstract: In this paper, training symbol designs for estimation of frequency selective channels and compensation of in-phase (I) and quadrature (Q) imbalances on orthogonal frequency division multiplexing (OFDM) transmitters and receivers are studied. We utilize cross entropy (CE) optimization techniques together with convex optimization to design training sequences having low channel estimate mean squared error (MSE) and minimum effects of I/Q mismatch, while lowering the peak power of the training signals. The proposed design provides better channel estimate MSE and bit error rate (BER) performances and is applicable to OFDM systems with and without null subcarriers. The efficacies of the proposed designs are corroborated by analysis and simulation results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1963/_p
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@ARTICLE{e95-a_11_1963,
author={Emmanuel MANASSEH, Shuichi OHNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Training Symbol Design for Channel Estimation and IQ Imbalance Compensation in OFDM Systems},
year={2012},
volume={E95-A},
number={11},
pages={1963-1970},
abstract={In this paper, training symbol designs for estimation of frequency selective channels and compensation of in-phase (I) and quadrature (Q) imbalances on orthogonal frequency division multiplexing (OFDM) transmitters and receivers are studied. We utilize cross entropy (CE) optimization techniques together with convex optimization to design training sequences having low channel estimate mean squared error (MSE) and minimum effects of I/Q mismatch, while lowering the peak power of the training signals. The proposed design provides better channel estimate MSE and bit error rate (BER) performances and is applicable to OFDM systems with and without null subcarriers. The efficacies of the proposed designs are corroborated by analysis and simulation results.},
keywords={},
doi={10.1587/transfun.E95.A.1963},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Training Symbol Design for Channel Estimation and IQ Imbalance Compensation in OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1963
EP - 1970
AU - Emmanuel MANASSEH
AU - Shuichi OHNO
PY - 2012
DO - 10.1587/transfun.E95.A.1963
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2012
AB - In this paper, training symbol designs for estimation of frequency selective channels and compensation of in-phase (I) and quadrature (Q) imbalances on orthogonal frequency division multiplexing (OFDM) transmitters and receivers are studied. We utilize cross entropy (CE) optimization techniques together with convex optimization to design training sequences having low channel estimate mean squared error (MSE) and minimum effects of I/Q mismatch, while lowering the peak power of the training signals. The proposed design provides better channel estimate MSE and bit error rate (BER) performances and is applicable to OFDM systems with and without null subcarriers. The efficacies of the proposed designs are corroborated by analysis and simulation results.
ER -
English
