AN ACCURATE MODULATION CLASSIFICATION ALGORITHM FOR MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS SYSTEMS

Automatic Modulation Classification (AMC) is a very important process for any
receiver that has a limited or no prior knowledge of the received signals. It is
important for many areas such as interference identification, software radio and for
many other civilian and military applications.
Even though intense researches have been carried out in the field ofAMC during
the last decades, most ofthem were mainly conducted for Single-Input Single-Output
(SISO) systems. Recently, Multiple-Input Multiple-Output (MIMO) techniques have
attracted much attention and gained more popularity, where multiple transmit and
receive antennas are used to enhance the data rate and/or robustness of the wireless
link. However, the transmission over multiple antennas makes the AMC problem
more challenging due to the mutual interference introduced by the MIMO channel.