2020/06/12 by Renato L. G. Cavalcante, Cavalcante, Renato Luis Garrido, Sławomir Stańczak +1 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Direction-of-Arrival Estimation Techniques #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2006.07007
openalex publication_date 2020/06/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a novel algorithm to estimate the channel covariance matrix of a\ndesired user in multiuser massive MIMO systems. The algorithm uses only\nknowledge of the array response and rough knowledge of the angular support of\nthe incoming signals, which are assumed to be separated in a well-defined\nsense. To derive the algorithm, we study interference patterns with realistic\nmodels that treat signals as continuous functions in infinite dimensional\nHilbert spaces. By doing so, we can avoid common and unnatural simplifications\nsuch as the presence of discrete signals, ideal isotropic antennas, and\ninfinitely large antenna arrays. An additional advantage of the proposed\nalgorithm is its computational simplicity: it only requires a single\nmatrix-vector multiplication. In some scenarios, simulations show that the\nestimates obtained with the proposed algorithm are close to those obtained with\nstandard estimation techniques operating in interference-free and noiseless\nsystems.\n