Title :
Toward real-time adaptive low-rank LMMSE channel estimation of MIMO-OFDM systems
Author :
Ozdemir, M.K. ; Arslan, Huseyin ; Arvas, Ercument
Author_Institution :
Dept. of EECS, Syracuse Univ., NY
Abstract :
For the practical LMMSE channel estimation of MIMO-OFDM systems, the high computational complexity of LMMSE needs to be eliminated. In this study, we develop a low-complexity, generalized low-rank LMMSE channel estimator for MIMO-OFDM systems using comb-type pilots. The estimator utilizes the relationship between the subspaces of the frequency domain channels at the pilots and non-pilots subcarriers. By using subspace tracking, it is observed that practical LMMSE channel estimation of MIMO-OFDM systems can be feasible
Keywords :
MIMO systems; OFDM modulation; adaptive estimation; channel estimation; least mean squares methods; wireless channels; MIMO-OFDM systems; comb-type pilots; frequency domain channels; linear minimum mean square error; multiple input multiple output system; orthogonal frequency division multiplexing; real-time adaptive low-rank LMMSE channel estimation; subspace tracking; AWGN; Channel estimation; Computational complexity; Delay; Intersymbol interference; MIMO; Mean square error methods; OFDM; Real time systems; Scattering;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2006.04713
