Title :
Dual-Diagonal LMMSE Channel Estimation for OFDM Systems
Author :
Geng, Nian ; Yuan, Xiaojun ; Ping, Li
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
Abstract :
We propose a low-complexity dual-diagonal (DD-) linear-minimum-mean-square-error (LMMSE) channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems involving iterative channel estimation and signal detection. Computational complexity and mean-square-error (MSE) analysis are presented to evaluate the efficiency of the proposed algorithm. A closed-form expression is derived for the asymptotic MSE of the DD-LMMSE channel estimator. Both analysis and numerical results show that DD-LMMSE performs close to the well-known LMMSE estimator with much lower complexity.
Keywords :
OFDM modulation; channel estimation; computational complexity; iterative methods; least mean squares methods; signal detection; DD-LMMSE channel estimator; OFDM systems; asymptotic MSE analysis; closed-form expression; computational complexity; dual-diagonal LMMSE channel estimation; iterative channel estimation; linear-minimum-mean-square-error channel estimation algorithm; low-complexity dual-diagonal channel estimation algorithm; mean-square-error analysis; orthogonal frequency-division multiplexing systems; signal detection; Channel estimation; Complexity theory; Educational institutions; OFDM; Receivers; Signal detection; Vectors; Channel estimation; dual-diagonal LMMSE (DD-LMMSE) estimation; linear-minimum-mean-square-error (LMMSE); orthogonal frequency division multiplexing (OFDM);
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2012.2202112