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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,
Full Text: PDF(212.3KB)>>
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.
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