Blind Identification of MIMO-SFBC Signals over Frequency-Selective Channels

This paper presents a novel approach for blind identification of space-frequency block codes. Based on the random matrix theory, we propose principal component sequence as a discriminating feature, which is detected by sliding window in the frequency-domain. With this feature, Euclidean distance is employed for decision making. The proposed algorithm does not need priori knowledge of the signal parameters such as channel coefficients, the modulation mode or noise power. Meanwhile, this algorithm is compatible to identify single-antenna systems and spatial multiplexing of different orders without another module. Moreover, the simulations show the proposed algorithm adapts to multipath fading effectively with a short observation period.

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