Title :
An Improved Low-Complexity LMMSE Channel Estimation Algorithm
Author :
Xuchen Wang ; Feng Guo
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
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 hardware platform, which provides the approximate estimation 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. Finally, comparisons are made between the simulation performances of improved LMMSE algorithm with those of other estimation methods for further analysis.
Keywords :
Long Term Evolution; channel estimation; least mean squares methods; matrix algebra; adaptive order determination; autocorrelation matrix; linear minimum mean square error; low-complexity LMMSE channel estimation algorithm; max-time delay; noise power; time domain least square; Channel estimation; Complexity theory; Correlation; Estimation; Signal to noise ratio; Time domain analysis; LMMSE; LTE; adaptive order determination; algorithm complexity; channel parameter;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.120