Optimum Superimposed Training Design for Estimating of OFDM Channels

Qinghai YANG  Kyung Sup KWAK  

Publication
IEICE TRANSACTIONS on Communications   Vol.E90-B   No.9   pp.2605-2608
Publication Date: 2007/09/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e90-b.9.2605
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
Keyword: 
OFDM,  channel estimation,  LS,  superimprosed training,  

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Summary: 
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.