Original scientific paper
https://doi.org/10.24138/jcomss-2021-0042
A Low Complexity Optimal LMMSE Channel Estimator for OFDM System
Jyoti P. Patra
; Dept. of Electronics and Communication Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India
Bibhuti Bhusan Pradhan
; Dept. of Electronics and Communication Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India
Poonam Singh
; Dept. of Electronics and Communication Engineering, National Institute of Technology, Rourkela Odisha-769008, India
Abstract
Linear minimum mean square error (LMMSE) is the optimal channel estimator in the mean square error (MSE) perspective, however, it requires matrix inversion with cubic complexity. In this paper, by exploiting the circulant property of the channel frequency autocorrelation matrix RHH, an efficient LMMSE channel estimation method has been proposed for orthogonal frequency division multiplexing (OFDM) based on fast Fourier transformation (FFT) and circular convolution theorem. Finally, the computer simulation is carried out to compare the proposed LMMSE method with the classical LS and LMMSE methods in terms of performance measure and computational complexity. The simulation results show that the proposed LMMSE estimator achieves exactly same performance as conventional LMMSE estimator with much lower computational complexity.
Keywords
OFDM; Channel estimation; Circulant matrix; LMMSE estimator
Hrčak ID:
270731
URI
Publication date:
30.12.2021.
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