Beamspace Channel Estimation Based on Block Support Detection for Millimeter-wave Massive MIMO Systems

The millimeter-wave (mmwave) massive multiple input multiple output (MIMO) system in beamspace can greatly reduce the number of radio frequency (RF) links through beam selection. However, the limited number of RF links make it very difficult to obtain high-dimensional beam space channel state information Aiming at the problems of high complexity and low accuracy of beamspace channel estimation in mmwave massive MIMO system, a block support detection (BSD) algorithm based on block sparsity is proposed. Specifically, an equivalent vector with block sparsity is obtained by recombining the path components of the channel vector, then the non-zero elements of each path component are treated together to obtain the block sparsity support set. Thus, the high-dimensional beamspace channel can be estimated under the condition of low pilot overhead. Theoretical analysis and simulation results show that the proposed BSD algorithm is superior to some existing schemes in terms of estimation accuracy, pilot overhead and complexity.