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

作　　者：SHU Feng ZHAO JunHui YOU XiaoHu WANG Mao CHEN Qian STEVAN Berber 

机构地区：[1]School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China [2]National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China [3]School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China [4]Department of Electrical and Computer Engineering,University of Auckland,Auckland 1142,New Zealand

出　　处：《Science China(Information Sciences)》2012年第11期2604-2610,共7页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China (Grant Nos. 61172073,61271230);the open research fund of National Mobile Communications Research Laboratory (Grant No.2010D13),Southeast University,China

摘　　要：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.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.

关 键 词：iterative shrinkage TIME-DOMAIN least square IQ imbalance channel estimation 

分 类 号：TN929.5[电子电信—通信与信息系统] TN929.533[电子电信—信息与通信工程]