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An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances

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Abstract

A time-domain (TD) least square (LS) channel estimator is first proposed to estimate channel parameters of OFDM system with IQ imbalances at both transmitter and receiver. Then, an iterative shrinkage (IS) algorithm from compressed sensing is adopted to further improve the estimation performance by using the TD-LS solution as the initial value of IS in the case of sparse channel. Simulation shows that our algorithm combining TD-LS and IS performs better on bit error rate than the frequency-domain LS and matching pursuit in sparse Hilly Terrain channel when the same LS equalizer is adopted.

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Authors and Affiliations

  1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

    Feng Shu, Mao Wang & Qian Chen

  2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Feng Shu & XiaoHu You

  3. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    JunHui Zhao

  4. Department of Electrical and Computer Engineering, University of Auckland, Auckland, 1142, New Zealand

    Berber Stevan

Authors
  1. Feng Shu
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  2. JunHui Zhao
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  3. XiaoHu You
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  4. Mao Wang
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  5. Qian Chen
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  6. Berber Stevan
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Correspondence to Feng Shu.

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Shu, F., Zhao, J., You, X. et al. An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances. Sci. China Inf. Sci. 55, 2604–2610 (2012). https://doi.org/10.1007/s11432-012-4691-7

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  • DOI: https://doi.org/10.1007/s11432-012-4691-7

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