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}, publisher={IEEE}, proceedings_a={C-RAN}, year={2013}, month={2}, keywords={lmmse adaptive order determination channel parameter algorithm complexity}, doi={10.1109/ChinaCom.2012.6417604} }- Wei Shi
Tao Peng
Rongrong Qian
Ran Duan
Kuilin Chen
Year: 2013
Low Complexity LMMSE Channel Estimation on GPP
C-RAN
IEEE
DOI: 10.1109/ChinaCom.2012.6417604
Abstract
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.
