For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Optimum Superimposed Training Design for Estimating of OFDM Channels
Qinghai YANG Kyung Sup KWAK
IEICE TRANSACTIONS on Communications
Publication Date: 2007/09/01
Online ISSN: 1745-1345
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
OFDM, channel estimation, LS, superimprosed training,
Full Text: PDF>>
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.