PROJECT TITLE :
Narrowband Interference Cancelation Based on Priori Aided Compressive Sensing for DTMB Systems
During this paper, a unique narrowband interference (NBI) cancelation scheme based mostly on priori aided compressive sensing (CS) for digital terrestrial multimedia broadcasting systems is proposed. The repeated coaching sequences in the transmitted symbols are exploited by differential measuring to accumulate the CS measuring vector of the NBI, and for joint acquisition of the NBI support priori. Using the proposed priori aided sparsity adaptive matching pursuit algorithm, the sparse high-dimensional NBI will be accurately reconstructed from the measuring vector of much smaller size obtained through the proposed CS-based mostly differential measuring method. It's verified by theoretical analysis and simulations that the proposed technique outperforms standard anti-NBI methods below multipath broadcasting channels.
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