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Noise variance threshold-based channel estimator for OFDM system with I/Q imbalances


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Noise variance threshold-based channel estimator for OFDM system with I/Q imbalances
Xu Yanqing1Wang Jin1Meng Qinggong1Wei Yuan1Shu Feng123 Yu Hai1Shen Yue1Qian Yuwen1
1.School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China; 2.National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China; 3.Ministerial Key Laboratory of JGMT,NUST,Nanjing 210094,China
in-phase and quadrature-phase imbalances orthogonal frequency division multiplexing least square channel estimator noise variance sparse environment frequency-domain time-domain compressed sensing
In order to improve the performance of orthogonal frequency division multiplexing(OFDM)system with in-phase and quadrature-phase(I/Q)imbalances in sparse environment,a threshold-based time-domain least square(TB-TD-LS)channel estimator is proposed with low complexity.In order to improve the accuracy of channel estimation,an approximate optimal threshold is determined according to noise variance to eliminate the noise in sampling points of channel response in the proposed estimator.The simulation result shows that the estimation accuracy of the TB-TD-LS channel estimator is improved 6 dB than that of a frequency-domain channel estimation algorithm,and is improved 2 dB than that of a time-domain channel estimation algorithm,and closes to that of a time-domain least square iterative shrinkage estimator based on compressed sensing.The computation complexity of the TB-TD-LS channel estimator is lower than that of the time-domain least square iterative shrinkage estimator based on compressed sensing.


[1] Shu Feng,Li Jun,Wu Lenan,et al.Time-frequency channel estimation for digital amplitude modulation broadcasting systems based on OFDM[J].IEE Proceedings-Communications,2003,150(4):259-264.
[2]Bajwa W U,Haupt J,Sayeed A M,et al.Compressed channel sensing:A new approach to estimating sparse multipath channels[J].Proceedings of the IEEE,2010,98(6):1058-1076.
[3]Berger C R,Wang Zhaohui,Huang Jianzhong,et al.Application of compressive sensing to sparse channel estimation[J].IEEE Communications Magazine,2010,48(11):164-174.
[4]Qi Chenhao,Wang Xin,Wu Lenan.Underwater acoustic channel estimation based on sparse recovery algorithms[J].IET Signal Processing,2011,5(8):739-747.
[5]Berger C R,Zhou Shengli,Preisig J C,et al.Sparse channel estimation for multicarrier underwater acoustic communication:From subspace methods to compressed sensing[J].IEEE Trans on Signal Processing,2010,58(3):1708-1721.
[6]Sun Teng,Song Zhiqun,Zhang Yongjie.Matching pursuit based sparse channel estimation using pseudorandom sequences[A].5th Global Symposium on Millimeter Waves(GSMM)[C].Harbin,China:IEEE,2012:33-37.
[7]Hu Die,Wang Xiaodong,He Lianghua.A new sparse channel estimation and tracking method for time-varying OFDM systems[J].IEEE Transactions on Vehicular Technology,2013,62(9):4648-4653.
[8]Guo Sichuan,He Zhiqiang,Jiang Weipeng,et al.Channel estimation based on compressed sensing in high-speed underwater acoustic communication[A].9th International Conference on Information,Communi-cations and Signal Processing(ICICS)[C].Tainan,China:IEEE,2013:1-5.
[9]Qi Chenhao,Wu Lenan.A study of deterministic pilot allocation for sparse channel estimation in OFDM systems[J].IEEE Communications Letters,2012,16(5):742-744.
[10]Qi Chenhao,Yue Guosen,Wu Lenan,et al.Pilot design for sparse channel estimation in OFDM-based cognitive radio systems[J].IEEE Transactions on Vehicular Technology,2014,63(2):982-987.
[11]Tarighat A,Sayed A H.Joint compensation of transmitter and receiver impairments in OFDM systems[J].IEEE Transactions on Wireless Communications,2007,6(1):240-247.
[12]Mattera D,Sterle F.ML estimation of receiver IQ imbalance parameters[A].2007 International Waveform Diversity and Design Conference[C].Pisa,Italy:IEEE,2007:160-164.
[13]Marey M,Samir M,Dobre O A.EM-based joint channel estimation and IQ imbalances for OFDM systems[J].IEEE Trans on Broadcasting,2012,58(1):106-113.
[14]Miyashita H,Inamori M,Sanada Y,et al.IQ imbalance estimation scheme with intercarrier interference self-cancellation pilot symbols in OFDM direct conversion receivers[J].IEICE Technical Report,110(435):43-49.
[15]Oka H,Ahn C J,Omori T,et al.IQ imbalance estimation and compensation schemes based on time frequency interferometry for OFDM[A].Sixth International Workshop on Signal Design and Its Applications in Communications[C].Tokyo,Japan:IEEE,2013:126-129.
[16]Shu Feng,Zhao Junhui,You Xiaohu,et al.An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances[J].Science China(Information Sciences),2012,55(11):2604-2610.


Last Update: 2015-06-30