@article{(Open Science Index):https://publications.waset.org/pdf/10010016,
	  title     = {Low-Complexity Channel Estimation Algorithm for MIMO-OFDM Systems},
	  author    = {Ali Beydoun and  Hamzé H. Alaeddine},
	  country	= {},
	  institution	= {},
	  abstract     = {One of the main challenges in MIMO-OFDM system
to achieve the expected performances in terms of data rate
and robustness against multi-path fading channels is the channel
estimation. Several methods were proposed in the literature based on
either least square (LS) or minimum mean squared error (MMSE)
estimators. These methods present high implementation complexity
as they require the inversion of large matrices. In order to overcome
this problem and to reduce the complexity, this paper presents
a solution that benefits from the use of the STBC encoder and
transforms the channel estimation process into a set of simple
linear operations. The proposed method is evaluated via simulation
in AWGN-Rayleigh fading channel. Simulation results show a
maximum reduction of 6.85% of the bit error rate (BER) compared to
the one obtained with the ideal case where the receiver has a perfect
knowledge of the channel.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {13},
	  number    = {2},
	  year      = {2019},
	  pages     = {42 - 49},
	  ee        = {https://publications.waset.org/pdf/10010016},
	  url   	= {https://publications.waset.org/vol/146},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 146, 2019},