NEAR ML(MAXIMUM LIKELIHOOD) DECODING METHOD WITH A HYPOTHESIS TESTING TECHNIQUE FOR A MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM CAPABLE OF GREATLY REDUCING COMPUTATIONAL COMPLEXITY

摘要

PURPOSE: A near ML(Maximum Likelihood) decoding method with a hypothesis testing technique for a multiple input multiple output system is provided to greatly reduce computational complexity by using a result in which various hypothesis test techniques and a channel matrix are analyzed in probability.;CONSTITUTION: A best node having the smallest node is selected from leaf nodes. The leaf node is corresponded to a node which is not connected to any nodes in a lower layer at the first look of a length. One is selected from child nodes of the selected best node by using a hypothesis test technique. Adjacent leaf nodes to an obtained child node are selected based on the opposite angle component and the signal-noise ratio of an upside triangular matrix R obtained by decomposing a channel matrix QR.;COPYRIGHT KIPO 2012