A Novel Least-Squares Approach for Estimation of OFDM Channel Frequency Response

نویسندگان

  • Rainfield Y. Yen
  • Andy Mao
  • Hong-Yu Liu
چکیده

A novel least-squares (LS) scheme to estimate the channel frequency response (CFR) for orthogonal frequency division multiplexing (OFDM) over slow fading channels is presented. We take the advantage of slow fading to use repeated OFDM training blocks. This not only can facilitate the LS formulation but also improve the channel estimation performance as compared to the conventional one block LS channel estimation. In addition, we show analytically as well as by simulations that a constant unit amplitude sequence provides the optimal training sequence. Keywords—Orthogonal frequency division multiplexing, channel estimation, least-squares estimation, channel frequency response, optimal training sequence

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تاریخ انتشار 2008