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Tensor-Based Space-Time Multiplexing Codes for MIMO-OFDM Systems with Blind Detection

A new approach to space-time-frequency coding for multiple-input multiple-output (MIMO) systems based on orthogonal frequency division multiplexing (OFDM) is presented. Tensor-based space-time-multiplexing (TSTM) codes combine multi-stream spatial multiplexing and transmit diversity, and are based on a tensor modeling of the transmitted/received signals. The proposed codes are designed to offer some transmission flexibility by allowing a simple multiplexing-diversity-rate control as well as to achieve full space and multipath diversities in a frequency-selective channel. We show that the received signal has a tensor structure and this tensor modeling is exploited for blind separation/decoding of the transmitted information. Simulation results illustrate the performance of some TSTM codes with blind detection