CAJ | 학술논문

大规模MIMO-OFDM系统中，信道常常存在较强的空间和频域相关性。针对多数信道压缩反馈算法仅考虑空间或频域相关性的问题，该文提出一种空频联合压缩反馈算法。首先，根据压缩感知理论进行了信道空频2维稀疏度分析；然后，推导了信道矩阵在空间和频域2维相关性下的联合稀疏基；最后，利用该联合稀疏基给出了空频联合压缩算法。仿真结果与分析表明，该算法在保证信道反馈精度的同时，可显著降低反馈量。
대규모MIMO-OFDM계통중，신도상상존재교강적공간화빈역상관성。침대다수신도압축반궤산법부고필공간혹빈역상관성적문제，해문제출일충공빈연합압축반궤산법。수선，근거압축감지이론진행료신도공빈2유희소도분석；연후，추도료신도구진재공간화빈역2유상관성하적연합희소기；최후，이용해연합희소기급출료공빈연합압축산법。방진결과여분석표명，해산법재보증신도반궤정도적동시，가현저강저반궤량。
In Massive MIMO-OFDM systems, the channel shows strong correlations in both spatial and frequency domain. Aiming at the problem that only spatial or frequency domain correlation is considered in most of the existing compressed feedback algorithms, a joint spatial-frequency compression algorithm is proposed. First, a two dimensional sparsity of channel in spatial-frequency domain is analyzed according to the compressed sensing theory. Then, a joint sparse matrix of channel is derived. Based on the joint sparse matrix, the joint spatial-frequency compression algorithm is presented. Simulation results and analysis show that, the proposed algorithm can significantly reduce the feedback load with acceptable accuracy.