【文件属性】:
文件名称:Sparse channel estimation in millimeter wave communications
文件大小:375KB
文件格式:PDF
更新时间:2020-10-17 08:51:15
mmWave, AOA
In this paper, channel estimation in millimeter wave (mmWave) communication systems is considered. In contrast to prevailing mmWave channel estimation methods exploiting the sparsity nature of the channel, we move one step further by exploiting the joint AoD-AoA angular spread. By formulating
the channel estimation as a block-sparse signal recovery with
an underlying two-dimensional cluster feature, we propose a two-dimensional sparse Bayesian learning method without a priori knowledge of two-dimensional angular spread patterns. It
essentially couples the channel path power at one angular direction
with its two-dimensional AoD-AoA neighboring directions. Compared with existing sparse mmWave channel estimation methods, the proposed method is numerically verified to reduce the training overhead and channel estimation error.