Classification of Space-Time Block Codes Based on Second-Order Cyclostationarity with Transmission Impairments

Blind Identification of Space-time Block Coding (STBC) Using Single Receive Antenna over Frequency-selective Fading Channels

“…Space-time block code (STBC) as a MIMO-based system, its blind identification [1,2,3] becomes an essential part of transmission parameter estimation. STBC identification algorithms can be divided into two categories: the maximum likelihood (ML) [4,5] and the feature based (FB) [6,7]. The former provides the correct recognition probability of the optimal solution, Vincent Choqueuse and MlanieMarazin proposed an algorithm based on second-order statistics (SOS).However, the algorithm needs to know the channel information in advance, such as the noise power and carrier frequency offset.…”

“…To the best of the authors' knowledge, most studies of STBC identification algorithms considered frequency-flat fading channels [3,4,8]. However, in the actual communication environment, the channel propagation conditions are more severe, so the radio channel characteristics change over time, seriously affecting the quality of communication.…”

Joint Space Time Block Code and Modulation Classification for MIMO Systems

“…MIMO Similarly, LB STBC classification methods in the literature assume the presence of perfect knowledge on the employed modulation, the SNR and code block timing [7]. Their FB counterparts usually exploit the cyclostationary behavior of the received signal induced by the coding operation, which has the benefit of not requiring any a-priori information on the modulation type, however, they are sub optimal [8], [9], [10].…”

Space Time Block Code classification for MIMO signals exploiting cyclostationarity

“…spatially multiplexed) MIMO signals, however, discrimination between different codes is not considered. In [4], a STBC classification method is proposed, which provides robustness against transmission impairments by exploiting the cyclostationarity of the received signal vector, making use of the fact that STBCs of different block lengths exhibit cyclostationarity with different cyclic frequencies, however, discrimination between codes which exhibit cyclostationarity with the same cyclic frequency, (i.e.codes with the same block length) is not considered. In [5], the use of fourth order cyclic statistics of the received signal has been proposed for discriminating between Alamouti coded and spatially multiplexed MIMO signals, which requires only a single receive antenna.…”

“…In this work, we propose a novel STBC classification algorithm that, similar to [3] and [4], uses second order cyclostationary statistics as discriminating features. However, unlike those two algorithms, it estimates the discriminating features after blindly compensating the effects of the MIMO channel and recovering a noisy version of the original transmit signal, which leads to a finer discriminatory capability between different STBCs, and makes the algorithm capable of discriminating between the codes which have the same cycle frequencies, i.e.…”