Channel Estimation and Pilot Design for Massive MIMO Systems with Block-Structured Compressive Sensing

摘要：

　　Through utilizing the technology of compressive sensing(CS),the channel estimation methods can achieve the purpose of reducing pilots and improving spectrum efficiency.The channel estimation and pilot design scheme are explored during the correspondence under the help of block-structured CS in massive MIMO systems.The block coherence property of the aggregate system matrix can be minimized so that the pilot design scheme based on stochastic search is proposed.Moreover,the block sparsity adaptive matching pursuit(BSAMP)algorithm under the common sparsity model is proposed so that the channel estimation can be caught precisely.Simulation results are to be proved the proposed design algorithm with superimposed pilots design and the BSAMP algorithm can provide better channel estimation than existing methods.

作者: ZhuoKai Lv Tiejun Yang Chunhua Zhu

作者单位: College of Information Science and Engineering,Henan University of Technology,Zhengzhou,China

会议类型: 国际会议

会议名称: The 1st International Symposium on Application of Materials Science and Energy Materials (SAMSE 2017)

会议地点: 上海

会议语种:英文

页码: 1-6

在线出版日期: 2017-12-28（万方平台首次上网日期，不代表论文的发表时间）