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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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| Authors: | SHU Feng ZHAO JunHui YOU XiaoHu WANG Mao CHEN Qian & STEVAN Berber |
| Affiliation: | 1School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;2National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China;3School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;4Department of Electrical and Computer Engineering,University of Auckland,Auckland 1142,New Zealand |
| 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. |
| Keywords: | iterative shrinkage time-domain least square IQ imbalance channel estimation |
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