On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel
Elad Romanov,
Or Ordentlich
Abstract:Motivated by applications in unsourced random access, this paper develops a novel scheme for the problem of compressed sensing of binary signals. In this problem, the goal is to design a sensing matrix A and a recovery algorithm, such that the sparse binary vector x can be recovered reliably from the measurements y = Ax + σz, where z is additive white Gaussian noise. We propose to design A as a parity check matrix of a low-density parity-check code (LDPC), and to recover x from the measurements y using a Marko… Show more
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