低秩张量 MMSE 均衡
信号处理
2019-12-19 v1
摘要
新一代无线通信系统将采用大规模天线阵列以满足日益增长的容量需求。这种大规模场景因信号处理复杂度的提升给信道均衡问题带来新挑战。我们提出一种新颖的低秩张量均衡器，以应对经典线性方法的高计算需求。具体而言，我们提出一种设计典范多项式（canonical polyadic）张量滤波器以最小化均方误差准则的方法。我们的仿真结果表明，所提均衡器相比基准需要更少的计算量，且对短训练序列更具鲁棒性。
引用
@article{arxiv.1912.08317,
title = {Low-Rank Tensor MMSE Equalization},
author = {Lucas N. Ribeiro and André L. F. de Almeida and João C. M. Mota},
journal= {arXiv preprint arXiv:1912.08317},
year = {2019}
}
备注
This revision provides minor corrections to the original paper, which appeared in the Proc. of IEEE ISWCS19. Eq. (7) and below - H in the original paper should read as H_u; Eq. (18) - w_{d,r} in the original paper should read as w_{j,r}; First paragraph of Sec. III-B - the index n is correctly defined as n = n_1 + (n_2-1)*N_1 +... Also, the correct dimensions of tensor W are N_1x...xN_D