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This letter proposes a time-frequency joint sparse channel estimation for multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems under the framework of structured compressive sensing (CS). The proposed scheme firstly relies on a pseudo random preamble which is identical for all transmit antennas to acquire the partial common support by utilizing the sparse common support property of the MIMO channels. And then a very small amount of frequencydomain orthogonal pilots are used for the accurate channel recovery. Simulation results show that the proposed scheme demonstrates better performance and higher spectral efficiency than the conventional MIMO-OFDM schemes. Moreover, the obtained partial common support can be further utilized to reduce the complexity of the CS algorithm as well as improve the signal recovery probability under low signal to noise ratio conditions.

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