Low-Complexity Reconstruction of Covariance Matrix in Hybrid Uniform Circular Array  

作　　者：Fu Zihao Liu Yinsheng Duan Hongtao 

机构地区：[1]Information School,Communication University of China,Beijing 100024,China [2]Beijing Institute of Electronic System Engineering,Beijing 100854,China [3]School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China [4]Beijing Radio Monitoring Station of State Radio Monitoring Center(SRMC),Beijing 100037,China

出　　处：《China Communications》2024年第3期66-74,共9页中国通信（英文版）

基　　金：supported by National Key Research and Development Program of China under Grant 2020YFB1804901;State Key Laboratory of Rail Traffic Control and Safety(Contract:No.RCS2022ZT 015);Special Key Project of Technological Innovation and Application Development of Chongqing Science and Technology Bureau(cstc2019jscx-fxydX0053).

摘　　要：Spatial covariance matrix(SCM) is essential in many multi-antenna systems such as massive multiple-input multiple-output(MIMO). For multi-antenna systems operating at millimeter-wave bands, hybrid analog-digital structure has been widely adopted to reduce the cost of radio frequency chains.In this situation, signals received at the antennas are unavailable to the digital receiver, and as a consequence, traditional sample average approach cannot be used for SCM reconstruction in hybrid multi-antenna systems. To address this issue, beam sweeping algorithm(BSA) which can reconstruct the SCM effectively for a hybrid uniform linear array, has been proposed in our previous works. However, direct extension of BSA to a hybrid uniform circular array(UCA)will result in a huge computational burden. To this end, a low-complexity approach is proposed in this paper. By exploiting the symmetry features of SCM for the UCA, the number of unknowns can be reduced significantly and thus the complexity of reconstruction can be saved accordingly. Furthermore, an insightful analysis is also presented in this paper, showing that the reduction of the number of unknowns can also improve the accuracy of the reconstructed SCM. Simulation results are also shown to demonstrate the proposed approach.

关 键 词：hybrid array MILLIMETER-WAVE spatial covariance matrix uniform circular array 

分 类 号：TN929.5[电子电信—通信与信息系统]