First International Workshop on C-RAN

Research Article

Low Complexity LMMSE Channel Estimation on GPP

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417604,
        author={Wei Shi and Tao Peng and Rongrong Qian and Ran Duan and Kuilin Chen},
        title={Low Complexity LMMSE Channel Estimation on  GPP},
        proceedings={First International Workshop on C-RAN},
        keywords={lmmse adaptive  order  determination channel parameter algorithm complexity},
  • Wei Shi
    Tao Peng
    Rongrong Qian
    Ran Duan
    Kuilin Chen
    Year: 2013
    Low Complexity LMMSE Channel Estimation on GPP
    DOI: 10.1109/ChinaCom.2012.6417604
Wei Shi1,*, Tao Peng1, Rongrong Qian1, Ran Duan2, Kuilin Chen2
  • 1: Beijing University of Posts & Telecommunications
  • 2: China Mobile Research Institute
*Contact email:


This paper proposes an improved linear minimum mean square error (LMMSE) algorithm of adaptive order determination by taking advantage of the structure characteristics of time domain least square (LS) channel estimation based on general-purpose processor (GPP), which provides the approximate stimation approach of max-time delay and noise power. In addition, this algorithm achieves a practical channel estimation formula which greatly reduces the complexity of the algorithm by decomposing the autocorrelation matrix into some sub-matrixes on the foundation of correlation bandwidth. Then comparisons are made between the simulation performance of improved LMMSE algorithm with those of other estimation methods for further analysis. Finally, a hardware implementation scheme of the proposed algorithm on GPP is given.