PROJECT TITLE :
Iterative Soft Interference Cancellation for Sparse BPSK Signals
Compressed Sensing primarily based Multi-User Detection (CS-MUD) could be a novel MUD approach applied in sporadic Machine Type Communication (MTC) to spot actively transmitting sensors nodes at the identical time as the transmitted knowledge. During this context, totally different reconstruction algorithms from CS furthermore detection ideas well established in communications have been tailored, however either are not exploiting finite alphabets or are highly complex. During this paper, we have a tendency to specialize in an iterative soft interference cancellation theme that efficiently exploits the sparsity of the signal, the finite alphabet of the transmit information and the typically utilized channel coding to obtain a robust high performance detection scheme.
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