PROJECT TITLE :
Priori information aided compressive sensing for time domain synchronous OFDM
Time domain synchronous OFDM outperforms cyclic prefix OFDM in spectral efficiency and fast synchronisation, but suffers from the issue of supporting 256QAM and the performance loss over doubly selective fading channels due to severe inter-block-interference (IBI). In this reported work, the groundbreaking theory of compressive sensing is explored to solve those open issues, whereby the IBI-free region of little size within the received coaching sequence is employed to recover the high-dimensional channel without any IBI cancellation, and partial priori data of the channel is more exploited to cut back the complexity.
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