Introduction - If you have any usage issues, please Google them yourself
In o rder to t rack the channel variat ion of MIMO OFDM sy stems, t radit io nal channel
identif icat io n methods based on training sequence had to send larg e amount of redundant informat ion,
w hich result s in low er eff iciency o f t ransmissio n. Meanw hile, the blind method based o n subspace may
have inevitable ambiguity and low er precision of identif icat io n. In this paper, an est imat io n method fo r the
ambiguity mat rix is proposed, which utilizes less tr aining symbo ls to rect ify the result s f rom subspace
method. T he simulation result s show that this pro posed algo rithm can reduce the amount of t raining
symbols and incr ease the ef ficiency of t ransmission.