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

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Lv, Zhuokai^1 ; Yang, Tiejun^1 ; Zhu, Chunhua^1

College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China^1

关键词: Block sparsities;    Channel estimation method;    Coherence properties;    Compressive sensing;    Massive MIMO systems;    Spectrum efficiency;    Stochastic search;    Superimposed pilots;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/5/052039/pdf
DOI  :  10.1088/1757-899X/322/5/052039

学科分类：材料科学（综合）

来源: IOP

【 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.