This paper presents a comparative study of different Recursive Least Squares algorithms to track a Rayleigh flat fading MIMO channel. We investigate the effect of the initialization and training of these algorithms on their performance. We propose a new training scheme which can deliver a lower mean squared estimation error without loss of bandwidth efficiency. 							
						
							
					 															
					Emna Eitel, Rana H. Ahmed Salem, Joachim Speidel