DCD-Based Joint Sparse Channel Estimation for OFDM in Virtual Angular Domain

Massive Multiple Input Output (MIMO) is a promising technique for communications due to the high data transmission rate. To harvest benefit from massive MIMO, it necessary have accurate channel estimates. Such channels often exhibit sparsity in virtual angular domain. This paper proposes dichotomous coordinate descent (DCD) based algorithm joint sparse estimation domain orthogonal-frequency-division-multiplexing MIMO. We show that compared distributed adaptive matching pursuit previously proposed this purpose, DCD-based has significantly lower complexity and better performance.