Space-Time Block Coding Blind Classification for Green MIMO-OFDM Communication

Signal classification plays a pivotal role in cognitive radio networks. This problem becomes more challenging for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems employing linear space-time block code (STBC). This paper introduces a novel classification scheme to exploit the generalized cross-correntropy function to classify STBC-OFDM signals in the presence of impulsive interference. This scheme relies on the generalized cross-correntropy statistics of the STBC-OFDM signals to construct the strongly-distinguishable discriminating matrix. The proposed scheme avoids the estimation of channel coefficients, noise and interference statistics, and modulation types. Numerical results are presented to show that the proposed scheme provides acceptable classification performance in the presence of Gaussian noise and impulsive interference.