Blind recognition of space-time block code in MISO system

Blind recognition of space-time block codes (STBCs) used in multiple transmitter communication is an important research topic in the non-cooperative scenario, which has attracted more and more attention recently. However, all of the current recognition algorithms can only work well in multiple-input multiple-output system, i.e., the system employs multiple receive antennas. To our knowledge, there is no report in the literature on blind recognition of STBCs in multiple-input single-output (MISO) system, i.e., the system employs only one receive antenna. In this paper, this matter is addressed. An original method of feature extraction for STBCs in the MISO system is proposed using the second-order and higher-order statistics of the reconstructed receiver. After feature extraction, the classification of space-time code can be considered as a pattern recognition problem. A classifier based on a support vector machine is proposed for the recognition of STBCs by mapping these features into a high dimensional space. Simulations show that the proposed classifier can recognize STBCs with high performance and be robust to modulation.