In this letter, we design an optimal superimposed training scheme for orthogonal frequency division multiplexing (OFDM) systems. A linear least square (LS) channel estimator is developed, and optimal pilot symbols are proposed with respect to the channel estimate's mean square error (MSE). The optimal power allocation between training and data is derived by maximizing the averaged channel capacity lower bound. Simulation results validate our optimum design.
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Qinghai YANG, Kyung Sup KWAK, "Optimum Superimposed Training Design for Estimating of OFDM Channels" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 9, pp. 2605-2608, September 2007, doi: 10.1093/ietcom/e90-b.9.2605.
Abstract: In this letter, we design an optimal superimposed training scheme for orthogonal frequency division multiplexing (OFDM) systems. A linear least square (LS) channel estimator is developed, and optimal pilot symbols are proposed with respect to the channel estimate's mean square error (MSE). The optimal power allocation between training and data is derived by maximizing the averaged channel capacity lower bound. Simulation results validate our optimum design.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.9.2605/_p
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@ARTICLE{e90-b_9_2605,
author={Qinghai YANG, Kyung Sup KWAK, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimum Superimposed Training Design for Estimating of OFDM Channels},
year={2007},
volume={E90-B},
number={9},
pages={2605-2608},
abstract={In this letter, we design an optimal superimposed training scheme for orthogonal frequency division multiplexing (OFDM) systems. A linear least square (LS) channel estimator is developed, and optimal pilot symbols are proposed with respect to the channel estimate's mean square error (MSE). The optimal power allocation between training and data is derived by maximizing the averaged channel capacity lower bound. Simulation results validate our optimum design.},
keywords={},
doi={10.1093/ietcom/e90-b.9.2605},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Optimum Superimposed Training Design for Estimating of OFDM Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 2605
EP - 2608
AU - Qinghai YANG
AU - Kyung Sup KWAK
PY - 2007
DO - 10.1093/ietcom/e90-b.9.2605
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2007
AB - In this letter, we design an optimal superimposed training scheme for orthogonal frequency division multiplexing (OFDM) systems. A linear least square (LS) channel estimator is developed, and optimal pilot symbols are proposed with respect to the channel estimate's mean square error (MSE). The optimal power allocation between training and data is derived by maximizing the averaged channel capacity lower bound. Simulation results validate our optimum design.
ER -